Sugiyama Masashi 杉山将

… Alternative Names

SUGIYAMA Masashi 杉山将

Less

Researcher Number	90334515
Other IDs	https://orcid.org/0000-0001-6658-6743
External Links
Affiliation (Current)	2025: 国立研究開発法人理化学研究所, 革新知能統合研究センター, センター長 2025: 東京大学, 大学院新領域創成科学研究科, 教授
Affiliation (based on the past Project Information) *help	2017 – 2022: 東京大学, 大学院新領域創成科学研究科, 教授 2014 – 2016: 東京大学, 新領域創成科学研究科, 教授 2013: 東京工業大学, 大学院・情報理工学研究科, 准教授 2011 – 2013: 東京工業大学, 情報理工学(系)研究科, 准教授 2007 – 2011: 東京工業大学, 大学院・情報理工学研究科, 准教授 … More 2007: Tokyo Institute of Technology, 大学院・情報通工学研究科, 准教授 2006: 東京工業大学, 大学院情報理工学研究科, 助教授 2006: 東京工業大学, 大学院理工学研究科, 助教授 2005: 東京工業大学, 大学院・情報理工学研究科, 助教授 2003: 東工大, 情報理工学研究科, 助手 2002: 東京工業大学, 大学院・情報理工学研究科, 助教授 2001: Tokyo Institute of Technology, Department of Computer Science, Research Associate, 大学院・情報理工学研究科, 助手 2001: 東京工業大学, 大学院・理工学研究科, 助手 Less
Review Section/Research Field	Principal Investigator Intelligent informatics / Intelligent informatics / Complex systems / Intelligent informatics Except Principal Investigator Intelligent informatics / Perceptual information processing / Perception information processing/Intelligent robotics / Basic Section 61010:Perceptual information processing-related / Complex systems
Keywords	Principal Investigator 機械学習 / 強化学習 / 共変量シフト / 教師付き学習 / 次元削減 / ロボット制御 / モデル選択 / 汎化能力 / ブレインコンピュータインターフェイス / 主成分分析 … More / 共分散行列 / オンライン学習 / マルチタスク学習 / クラウドソーシング / ロバスト化 / 多椀バンディット問題 / ロバスト性 / ベイズ推論 / 模倣学習 / 多腕バンディット問題 / 密度差推定 / ダイバージェンス / 類似度 / リーマン幾何 / クラス事前確率推定 / 教師なし学習 / 密度微分 / 密度差 / 密度比 / 情報量 / 制御理論 / ロバスト学習 / スパース学習 / 意思決定 / 特徴選択 / 意志決定 / 予測 / 密度比推定 / 非定常環境 / 政策探索法 / 政策反復法 / 重要度重み / 重点サンプリング / 非定常環境適応 / データマイニング / 知能情報処理 / 学習と知識獲得 / ラベル無しデータ / 準教師付き学習 / 入力点依存 / 不偏性 / ブレインコンピュータインターフェース / ベイズ推定 / 交差確認法 / 汎化誤差 / 関数近似 / カーネル法 / 再生核ヒルベルト空間 / 正則化学習 / 最小二乗学習 / subspace information criterion (SIC) … More Except Principal Investigator パターン認識 / 機械学習 / subspace information criterion / generalization capability / supervised learning / 射影学習 / SIC / 部分空間情報量基準 / 射影学習族 / 誤差逆伝搬法 / 汎化能力 / 教師付き学習 / マハラノビス計量 / 脳信号処理 / オンライン教育 / ファイバー束 / 認識機構 / 相関行列 / 正定値行列 / ドメイン適応 / 信号処理 / 局所等方独立 / 作用素多様体 / 脳内シミュレーション / 脳内シュミレーション / 内部モデル / 強化学習 / 意思決定 / 神経科学 / active learning / SL projection learning / family of projection learning / partial projection learning / projection learning / 追加学習 / 学習族の理論 / 個別学習理論 / 能動学習 / SL射影学習 / 部分射影学習 / a family of projection learnings / admissibility / memorization learning / error back-propagation / 過学習 / ニューラルネットワーク / 適用範囲 / 許容性 / 記憶学習 / コミティマシン / 不完全交差学習 / ブレイン・コンピュータ・インターフェイス / ブレイン・コンピュータ・インターフェース / 生体信号処理 / 計量学習 / 局所等方独立方程式 / 局所独立方程式 / 多様体信号処理 / サポートベクタマシン / Grassmann多様体上の距離 / 部分カーネル主成分追跡 / コミッティマシン / 線形計画法による最大事後確率識別 / Fisher判別分析の修正項 / 適応的カーネル主成分分析 / 最小2乗確率的分類器 / 拡張カーネル法 / 制約条件付き最大事後確率識別器 / マルチカーネル適応フィルタ / 多様体上のアンサンブル学習 / 最小二乗確率的分類器 / Mahalanobis計量 / 時空間計量 / 汎化能力推定 / 多様体 / ブラインド信号抽出 / コミッティ機械 / 共変量シフト / 非対称カーネル法 / 幾何学的局所等方独立 / Mahalanobis 計量 / 信号空間の構造 Less

Theory for unified expression of recognition mechanisms and its application to machine learning
- Principal Investigator
  
  Yukihiko Yamashita
- Project Period (FY)
  2020 – 2022
- Research Category
  
  Grant-in-Aid for Scientific Research (B)
- Review Section
  
  Basic Section 61010:Perceptual information processing-related
- Research Institution
  Tokyo Institute of Technology
Theory and Application of Statistical Reinforcement LearningPrincipal Investigator
- Principal Investigator
  
  Sugiyama Masashi
- Project Period (FY)
  2017 – 2021
- Research Category
  
  Grant-in-Aid for Scientific Research (A)
- Research Field
  
  Intelligent informatics
- Research Institution
  The University of Tokyo
Theory of operator manifold and its application to pattern recognition
- Principal Investigator
  
  Yukihiko Yamashita
- Project Period (FY)
  2017 – 2019
- Research Category
  
  Grant-in-Aid for Scientific Research (B)
- Research Field
  
  Perceptual information processing
- Research Institution
  Tokyo Institute of Technology
Manifold signal processing theory concerning metric structure and its application to biological signal processing
- Principal Investigator
  
  Yukihiko Yamashita
- Project Period (FY)
  2014 – 2016
- Research Category
  
  Grant-in-Aid for Scientific Research (B)
- Research Field
  
  Perceptual information processing
- Research Institution
  Tokyo Institute of Technology
時間的な変化を伴うデータに対する機械学習手法に関する研究Principal Investigator
- Principal Investigator
  
  杉山将
- Project Period (FY)
  2014
- Research Category
  
  Grant-in-Aid for JSPS Fellows
- Research Field
  
  Intelligent informatics
- Research Institution
  The University of Tokyo
Theory and Application of Information-Based Machine LearningPrincipal Investigator
- Principal Investigator
  
  Sugiyama Masashi
- Project Period (FY)
  2013 – 2016
- Research Category
  
  Grant-in-Aid for Young Scientists (A)
- Research Field
  
  Intelligent informatics
- Research Institution
  The University of Tokyo
  Tokyo Institute of Technology
Development of Machine Learning Theory for Prediction and Decision Making and Its Realization in Neural NetworksPrincipal Investigator
- Principal Investigator
  
  Sugiyama Masashi
- Project Period (FY)
  2011 – 2015
- Research Category
  
  Grant-in-Aid for Scientific Research on Innovative Areas (Research in a proposed research area)
- Review Section
  
  Complex systems
- Research Institution
  The University of Tokyo
  Tokyo Institute of Technology
signal manifold by extended kernel method and its application
- Principal Investigator
  
  YUKIHIKO Yamashita
- Project Period (FY)
  2011 – 2013
- Research Category
  
  Grant-in-Aid for Scientific Research (B)
- Research Field
  
  Perception information processing/Intelligent robotics
- Research Institution
  Tokyo Institute of Technology
Elucidation of the Neral Computation for Prediction and Decision Making
- Principal Investigator
  
  Doya Kenji
- Project Period (FY)
  2011 – 2015
- Research Category
  
  Grant-in-Aid for Scientific Research on Innovative Areas (Research in a proposed research area)
- Review Section
  
  Complex systems
- Research Institution
  Okinawa Institute of Science and Technology Graduate University
Machine Learning under Changing EnvironmentsPrincipal Investigator
- Principal Investigator
  
  SUGIYAMA Masashi
- Project Period (FY)
  2008 – 2011
- Research Category
  
  Grant-in-Aid for Young Scientists (A)
- Research Field
  
  Intelligent informatics
- Research Institution
  Tokyo Institute of Technology
Machine learning theory based on structure of signal space and its application
- Principal Investigator
  
  YAMASHITA Yukihiko
- Project Period (FY)
  2006 – 2008
- Research Category
  
  Grant-in-Aid for Scientific Research (B)
- Research Field
  
  Perception information processing/Intelligent robotics
- Research Institution
  Tokyo Institute of Technology
入力点に依存した汎化能力推定法に関する研究Principal Investigator
- Principal Investigator
  
  杉山将
- Project Period (FY)
  2005 – 2007
- Research Category
  
  Grant-in-Aid for Young Scientists (B)
- Research Field
  
  Intelligent informatics
- Research Institution
  Tokyo Institute of Technology
教師付き学習におけるモデル選択に関する研究Principal Investigator
- Principal Investigator
  
  杉山将
- Project Period (FY)
  2002 – 2004
- Research Category
  
  Grant-in-Aid for Young Scientists (B)
- Research Field
  
  Intelligent informatics
- Research Institution
  Tokyo Institute of Technology
Theory of Family of Learnings-From a Single Learning to Infinitely Many Learning-
- Principal Investigator
  
  OGAWA Hidemitsu
- Project Period (FY)
  2002 – 2004
- Research Category
  
  Grant-in-Aid for Scientific Research (B)
- Research Field
  
  Intelligent informatics
- Research Institution
  TOKYO INSTITUTE OF TECHNOLOGY
Generalization Capability of Memorization Leaning
- Principal Investigator
  
  OGAWA Hidemitsu
- Project Period (FY)
  1999 – 2001
- Research Category
  
  Grant-in-Aid for Scientific Research (B)
- Research Field
  
  Intelligent informatics
- Research Institution
  Tokyo Institute of Technology

[Book] Machine Learning from Weak Supervision: An Empirical Risk Minimization Approach2022
- Author(s)
  Masashi Sugiyama, Han Bao, Takashi Ishida, Nan Lu, Tomoya Sakai, and Gang Niu
- Publisher
  The MIT Press
- Data Source
  KAKENHI-PROJECT-17H00757
[Book] 機械学習のための確率と統計2015
- Author(s)
  杉山将
- Total Pages
  127
- Publisher
  講談社
- Data Source
  KAKENHI-PROJECT-26280054
[Book] Statistical Reinforcement Learning: Modern Machine Learning Approaches.2015
- Author(s)
  Sugiyama, M.
- Total Pages
  206
- Publisher
  Chapman and Hall/CRC
- Data Source
  KAKENHI-PLANNED-23120004
[Book] Statistical Reinforcement Learning: Modern Machine Learning Approaches2015
- Author(s)
  Sugiyama, M.
- Total Pages
  206
- Publisher
  Chapman and Hall/CRC
- Data Source
  KAKENHI-PLANNED-23120004
[Book] Introduction to Statistical Machine Learning.2015
- Author(s)
  Sugiyama, M.
- Total Pages
  534
- Publisher
  Morgan Kaufmann
- Data Source
  KAKENHI-PLANNED-23120004
[Book] Introduction to Statistical Machine Learning2015
- Author(s)
  Sugiyama, M.
- Total Pages
  534
- Publisher
  Morgan Kaufmann
- Data Source
  KAKENHI-PROJECT-25700022
[Book] 異常検知と変化検知2015
- Author(s)
  井手剛, 杉山将
- Total Pages
  192
- Publisher
  講談社
- Data Source
  KAKENHI-PROJECT-25700022
[Book] イラストで学ぶ機械学習：最小二乗法による識別モデル学習を中心に2013
- Author(s)
  杉山将
- Total Pages
  230
- Publisher
  講談社
- Data Source
  KAKENHI-PROJECT-23300069
[Book] イラストで学ぶ機械学習：最小二乗法による識別モデル学習を中心に2013
- Author(s)
  杉山将
- Total Pages
  230
- Publisher
  講談社
- Data Source
  KAKENHI-PROJECT-25700022
[Book] イラストで学ぶ機械学習 : 最小二乗法による識別モデル学習を中心に2013
- Author(s)
  杉山将
- Total Pages
  230
- Publisher
  講談社
- Data Source
  KAKENHI-PROJECT-23300069
[Book] イラストで学ぶ機械学習：最小二乗法による識別モデル学習を中心に,2013
- Author(s)
  杉山将
- Total Pages
  230
- Publisher
  講談社
- Data Source
  KAKENHI-PLANNED-23120004
[Book] Machine Learning in Non-Stationary Environments : Introduction to Covariate Shift Adaptation2012
- Author(s)
  Sugiyama, M. & Kawanabe, M
- Total Pages
  308
- Publisher
  MIT Press, Cambridge, MA, USA
- Data Source
  KAKENHI-PROJECT-20680007
[Book] Machine Learning in Non-Stationary Environments : Introduction to Covariate Shift Adaptation2012
- Author(s)
  Sugiyama, M., Kawanabe, M.
- Total Pages
  308
- Publisher
  MIT Press
- Data Source
  KAKENHI-PROJECT-20680007
[Book] Density Ratio Estimation in Machine Learning,2012
- Author(s)
  Sugiyama, M., Suzuki, T., & Kanamori, T.
- Total Pages
  344
- Publisher
  Cambridge University Press
- Data Source
  KAKENHI-PLANNED-23120004
[Book] Machine Learning in Non-Stationary Environments: Introduction to Covariate Shift Adaptation2012
- Author(s)
  Sugiyama, M. & Kawanabe, M.
- Total Pages
  308
- Publisher
  MIT Press
- Data Source
  KAKENHI-PLANNED-23120004
[Book] MIT Press, Cambridge, MA, USA2009
- Author(s)
  Quinonero-Candela, J., Sugiyama, M., Schwaighofer, A., Lawrence, N.D.(Eds.)
- Publisher
  Dataset Shift in Machine Learning
- Data Source
  KAKENHI-PROJECT-20680007
[Book] Dataset Shift in Machine Learning2009
- Author(s)
  Quinonero-Candela, J., Sugiyama, M., Schwaighofer, A., & Lawrence, N. D.
- Total Pages
  248
- Publisher
  MIT Press, Cambridge, MA, USA
- Data Source
  KAKENHI-PROJECT-20680007
[Book] Dataset Shift in Machine Learning2009
- Author(s)
  Quinonero-Candela, J., Sugiyama, M., Schwaighofer, A., Lawrence, N. D.
- Total Pages
  229
- Publisher
  MIT Press
- Data Source
  KAKENHI-PROJECT-18300057
[Book] Dataset Shift in Machine Learning2009
- Author(s)
  J. Quionero Candela, M. Sugiyama, A. Schwaighofer and N.D. Lawrence
- Total Pages
  229
- Publisher
  MIT Press
- Data Source
  KAKENHI-PROJECT-18300057
[Book] Dataset Shift in Machine Learning2009
- Author(s)
  Quinonero-Candela, J., Sugiyama, M., Schwaighofer, A., & Lawrence, N. D
- Total Pages
  248
- Publisher
  MIT Press
- Data Source
  KAKENHI-PROJECT-20680007
[Book] パターン認識と機械学習:ペイズ理論による統計的予測,2007
- Author(s)
  元田浩, 栗田多喜夫, 樋口知之, 松本裕治, 村田昇, (編), 赤穂昭太郎, 神嶌敏弘, 杉山将, 小野田崇, 池田和司, 鹿島久嗣, 賀沢秀人, 中島伸一, 竹内純一, 持橋大地, 小山聡, 井手剛, 篠田浩一, 山川宏, (訳)
- Total Pages
  350
- Publisher
  シュプリンガー・ジャパン
- Data Source
  KAKENHI-PROJECT-17700142
[Journal Article] Representation learning for continuous action spaces is beneficial for efficient policy learning2023
- Author(s)
  Zhao Tingting、Wang Ying、Sun Wei、Chen Yarui、Niu Gang、Sugiyama Masashi
- Journal Title
  
  Neural Networks
  
  Volume: 159 Pages: 137-152
- DOI
  10.1016/j.neunet.2022.12.009
- Peer Reviewed / Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-20H04206
[Journal Article] Learning from Noisy Complementary Labels with Robust Loss Functions2022
- Author(s)
  Hiroki Ishiguro, Takashi Ishida, Masashi Sugiyama
- Journal Title
  
  IEICE Trans. Inf. & Syst.
  
  Volume: E105.D Issue: 2 Pages: 364-376
- DOI
  10.1587/transinf.2021EDP7035
- NAID
  130008149868
- ISSN
  0916-8532, 1745-1361
- Year and Date
  2022-02-01
- Language
  English
- Peer Reviewed / Open Access
- Data Source
  KAKENHI-PROJECT-20H04206
[Journal Article] Positive-unlabeled classification under class-prior shift: a prior-invariant approach based on density ratio estimation2022
- Author(s)
  Nakajima Shota、Sugiyama Masashi
- Journal Title
  
  Machine Learning
  
  Volume: 112 Issue: 3 Pages: 889-919
- DOI
  10.1007/s10994-022-06190-z
- Peer Reviewed / Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-20H04206
[Journal Article] Class-Wise Denoising for Robust Learning under Label Noise2022
- Author(s)
  Gong Chen、Ding Yongliang、Han Bo、Niu Gang、Yang Jian、You Jane J.、Tao Dacheng、Sugiyama Masashi
- Journal Title
  
  IEEE Transactions on Pattern Analysis and Machine Intelligence
  
  Volume: 45 Pages: 1-1
- DOI
  10.1109/tpami.2022.3178690
- Peer Reviewed / Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-20H04206
[Journal Article] Discovering diverse solutions in deep reinforcement learning by maximizing state-action-based mutual information.2022
- Author(s)
  Osa, T., Tangkaratt, V., & Sugiyama, M.
- Journal Title
  
  Neural Networks
  
  Volume: -
- Peer Reviewed / Open Access
- Data Source
  KAKENHI-PROJECT-17H00757
[Journal Article] Robust imitation learning from noisy demonstrations2021
- Author(s)
  Tangkaratt, V., Charoenphakdee, N., & Sugiyama, M.
- Journal Title
  
  Proceedings of 24th International Conference on Artificial Intelligence and Statistics (AISTATS2021)
  
  Volume: - Pages: 298-306
- Peer Reviewed / Open Access
- Data Source
  KAKENHI-PROJECT-17H00757
[Journal Article] Constraint learning for control tasks with limited duration barrier functions2021
- Author(s)
  Ohnishi Motoya、Notomista Gennaro、Sugiyama Masashi、Egerstedt Magnus
- Journal Title
  
  Automatica
  
  Volume: 127 Pages: 109504-109504
- DOI
  10.1016/j.automatica.2021.109504
- Peer Reviewed / Open Access / Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-17H00757
[Journal Article] γ-ABC: Outlier-robust approximate Bayesian computation based on a robust divergence estimator2021
- Author(s)
  Fujisawa, M., Teshima, T., Sato, I., & Sugiyama, M.
- Journal Title
  
  Proceedings of 24th International Conference on Artificial Intelligence and Statistics (AISTATS2021)
  
  Volume: - Pages: 1783-1791
- Peer Reviewed / Open Access
- Data Source
  KAKENHI-PROJECT-17H00757
[Journal Article] LocalDrop: A Hybrid Regularization for Deep Neural Networks2021
- Author(s)
  Lu Ziqing、Xu Chang、Du Bo、Ishida Takashi、Zhang Lefei、Sugiyama Masashi
- Journal Title
  
  IEEE Transactions on Pattern Analysis and Machine Intelligence
  
  Volume: - Pages: 1-1
- DOI
  10.1109/tpami.2021.3061463
- Peer Reviewed
- Data Source
  KAKENHI-PROJECT-20H04206
[Journal Article] A unified view of likelihood ratio and reparameterization gradients2021
- Author(s)
  Parmas, P. & Sugiyama, M.
- Journal Title
  
  Proceedings of 24th International Conference on Artificial Intelligence and Statistics (AISTATS2021)
  
  Volume: - Pages: 4078-4086
- Peer Reviewed / Open Access / Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-17H00757
[Journal Article] Polynomial-time algorithms for multiple-arm identification with full-bandit feedback.2020
- Author(s)
  Kuroki, Y., Xu, L., Miyauchi, A., Honda, J., & Sugiyama, M.
- Journal Title
  
  Neural Computation
  
  Volume: 32 Pages: 1733-1773
- Peer Reviewed
- Data Source
  KAKENHI-PROJECT-17H00757
[Journal Article] Analysis and design of Thompson sampling for stochastic partial monitoring.2020
- Author(s)
  Tsuchiya, T., Honda, J., & Sugiyama, M.
- Journal Title
  
  Advances in Neural Information Processing Systems 33
  
  Volume: - Pages: 8861-8871
- Peer Reviewed / Open Access
- Data Source
  KAKENHI-PROJECT-17H00757
[Journal Article] Variational imitation learning with diverse-quality demonstrations.2020
- Author(s)
  Tangkaratt, V., Han, B., Khan, M. E., & Sugiyama, M.
- Journal Title
  
  Proceedings of 37th International Conference on Machine Learning (ICML2020)
  
  Volume: - Pages: 9407-9417
- Peer Reviewed / Open Access
- Data Source
  KAKENHI-PROJECT-17H00757
[Journal Article] Online dense subgraph discovery via blurred-graph feedback.2020
- Author(s)
  Kuroki, Y., Miyauchi, A., Honda, J., & Sugiyama, M.
- Journal Title
  
  Proceedings of 37th International Conference on Machine Learning (ICML2020)
  
  Volume: - Pages: 5522-5532
- Peer Reviewed / Open Access
- Data Source
  KAKENHI-PROJECT-17H00757
[Journal Article] Accelerating the diffusion-based ensemble sampling by non-reversible dynamics.2020
- Author(s)
  Futami, F., Sato, I., & Sugiyama, M.
- Journal Title
  
  Proceedings of 37th International Conference on Machine Learning (ICML2020)
  
  Volume: - Pages: 3337-3347
- Peer Reviewed / Open Access
- Data Source
  KAKENHI-PROJECT-17H00757
[Journal Article] Coupling-based invertible neural networks are universal diffeomorphism approximators2020
- Author(s)
  Takeshi Teshima、Isao Ishikawa、 Koichi Tojo、 Kenta Oono、Masahiro Ikeda、Masashi Sugiyama
- Journal Title
  
  Advances in Neural Information Processing Systems
  
  Volume: 33 Pages: 3362-3373
- Peer Reviewed
- Data Source
  KAKENHI-PROJECT-20H04206
[Journal Article] Active deep Q-learning with demonstration2020
- Author(s)
  Chen, S.-A., Tangkaratt, V., Lin, H.-T., & Sugiyama, M.
- Journal Title
  
  Machine Learning, to appear
  
  Volume: -
- Peer Reviewed / Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-17H00757
[Journal Article] Centroid Estimation with Guaranteed Efficiency: A General Framework for Weakly Supervised Learning2020
- Author(s)
  Gong Chen、Yang Jian、You Jane J.、Sugiyama Masashi
- Journal Title
  
  IEEE Transactions on Pattern Analysis and Machine Intelligence
  
  Volume: - Issue: 6 Pages: 1-1
- DOI
  10.1109/tpami.2020.3044997
- Peer Reviewed
- Data Source
  KAKENHI-PROJECT-20H04206
[Journal Article] Partially zero-shot domain adaptation from incomplete target data with missing classes2020
- Author(s)
  Masato Ishii, Takeshi Takenouchi, and Masashi Sugiyama
- Journal Title
  
  Proceedings of The IEEE Winter Conference on Applications of Computer Vision
  
  Volume: - Pages: 3052-3060
- Peer Reviewed / Open Access
- Data Source
  KAKENHI-PROJECT-17H01760
[Journal Article] Hierarchical reinforcement learning via advantage-weighted information maximization2019
- Author(s)
  Osa, T., Tangkaratt, V., & Sugiyama, M.
- Journal Title
  
  Proceedings of Seventh International Conference on Learning Representations (ICLR2019)
  
  Volume: -
- Peer Reviewed
- Data Source
  KAKENHI-PROJECT-17H00757
[Journal Article] Unsupervised domain adaptation based on source-guided discrepancy2019
- Author(s)
  S. Kuroki, N. Charoenphakdee, H. Bao, J. Honda, I. Sato, and M. Sugiyama
- Journal Title
  
  Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence (AAAI2019)
  
  Volume: -
- Data Source
  KAKENHI-PROJECT-17H01760
[Journal Article] Imitation learning from imperfect demonstration2019
- Author(s)
  Wu, Y.-H., Charoenphakdee, N., Bao, H., Tangkaratt, V., & Sugiyama, M.
- Journal Title
  
  Proceedings of 36th International Conference on Machine Learning (ICML2019)
  
  Volume: - Pages: 6818-6827
- Peer Reviewed / Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-17H00757
[Journal Article] Zero-shot domain adaptation based on attribute information2019
- Author(s)
  Masato Ishii, Takeshi Takenouchi, and Masashi Sugiyama
- Journal Title
  
  Proceedings of the 11th Asian Conference on Machine Learning
  
  Volume: - Pages: 473-488
- Peer Reviewed / Open Access
- Data Source
  KAKENHI-PROJECT-17H01760
[Journal Article] Good arm identification via bandit feedback.2019
- Author(s)
  Kano, H., Honda, J., Sakamaki, K., Matsuura, K., Nakamura, A., & Sugiyama, M.
- Journal Title
  
  Machine Learning
  
  Volume: -
- Peer Reviewed
- Data Source
  KAKENHI-PROJECT-17H00757
[Journal Article] Good arm identification via bandit feedback2019
- Author(s)
  Kano, H., Honda, J., Sakamaki, K., Matsuura, K., Nakamura, A., & Sugiyama, M.
- Journal Title
  
  Machine Learning
  
  Volume: 108 Pages: 721-745
- Peer Reviewed
- Data Source
  KAKENHI-PROJECT-17H00757
[Journal Article] Generative local metric learning for kernel regression2017
- Author(s)
  Y.-K. Noh, M. Sugiyama, K.-Y., Kim, F. C. Park, and D. D. Lee
- Journal Title
  
  Advances in Neural Information Processing Systems
  
  Volume: 30 Pages: 2449-2459
- Peer Reviewed / Open Access / Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-17H01760
[Journal Article] Class-prior estimation for learning from positive and unlabeled data2017
- Author(s)
  du Plessis, M. C., Niu, G., & Sugiyama, M.
- Journal Title
  
  Machine Learning
  
  Volume: -
- Peer Reviewed / Acknowledgement Compliant
- Data Source
  KAKENHI-PROJECT-25700022
[Journal Article] Least-squares log-density gradient clustering for Riemannian manifolds2017
- Author(s)
  M. Ashizawa, H. Sasaki, T. Sakai, and M. Sugiyama
- Journal Title
  
  Proceedings of 29th International Conference on Artificial Intelligence and Statistics
  
  Volume: 54 Pages: 537-546
- Peer Reviewed
- Data Source
  KAKENHI-PROJECT-26280054
[Journal Article] Geometry-aware principal component analysis for symmetric positive definite matrices2017
- Author(s)
  Horev, I., Yger, F., & Sugiyama, M.
- Journal Title
  
  Machine Learning
  
  Volume: -
- Peer Reviewed / Acknowledgement Compliant / Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-25700022
[Journal Article] Learning discrete representations via information maximizing self-augmented training2017
- Author(s)
  W. Hu, T. Miyato, S. Tokui, E. Matsumoto, and M. Sugiyama
- Journal Title
  
  Proceedings of 34th International Conference on Machine Learning
  
  Volume: 70 Pages: 1558-1567
- Peer Reviewed / Open Access
- Data Source
  KAKENHI-PROJECT-17H01760
[Journal Article] Direct density-derivative estimation2016
- Author(s)
  Sasaki, H., Noh, Y.-K., Niu, G., & Sugiyama, M.
- Journal Title
  
  Neural Computation
  
  Volume: 28 Pages: 1101-1140
- Peer Reviewed / Acknowledgement Compliant / Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-25700022
[Journal Article] Regularized multi-task learning for multi-dimensional log-density gradient estimation2016
- Author(s)
  Yamane, I., Sasaki, H., & Sugiyama, M.
- Journal Title
  
  Neural Computation
  
  Volume: 28 Pages: 1388-1410
- NAID
  110009971442
- Peer Reviewed / Acknowledgement Compliant
- Data Source
  KAKENHI-PROJECT-25700022
[Journal Article] Theoretical and experimental analyses of tensor-based regression and classification.2016
- Author(s)
  Wimalawarne, K., Tomioka, R., & Sugiyama, M.
- Journal Title
  
  Neural Computation
  
  Volume: 28 Pages: 686-715
- Peer Reviewed / Acknowledgement Compliant / Int'l Joint Research
- Data Source
  KAKENHI-PLANNED-23120004
[Journal Article] Trial and error: Using previous experiences as simulation models in humanoid motor learning.2016
- Author(s)
  Sugimoto, N., Tangkaratt, V., Wensveen, T., Zhao, T., Sugiyama, M., & Morimoto, J.
- Journal Title
  
  IEEE Robotics & Automation Magazine
  
  Volume: 23 Pages: 96-105
- Peer Reviewed / Acknowledgement Compliant
- Data Source
  KAKENHI-PLANNED-23120004
[Journal Article] An online policy gradient algorithm for Markov decision processes with continuous states and actions.2016
- Author(s)
  Ma, Y., Zhao, T., Hatano, K., & Sugiyama, M.
- Journal Title
  
  Neural Computation
  
  Volume: 28 Pages: 563-593
- Peer Reviewed / Acknowledgement Compliant
- Data Source
  KAKENHI-PLANNED-23120004
[Journal Article] Computationally efficient class-prior estimation under class balance change using energy distance2016
- Author(s)
  Kawakubo, H., du Plessis, M. C., & Sugiyama, M.
- Journal Title
  
  IEICE Transactions on Information and Systems
  
  Volume: E99-D Pages: 176-186
- NAID
  130005116200
- Peer Reviewed / Acknowledgement Compliant
- Data Source
  KAKENHI-PROJECT-25700022
[Journal Article] Multitask principal component analysis2016
- Author(s)
  I. Yamane, F. Yger, M. Berar, M. Sugiyama
- Journal Title
  
  Proceedings of the 8th Asian Conference on Machine Learning
  
  Volume: 63 Pages: 302-317
- Peer Reviewed
- Data Source
  KAKENHI-PROJECT-26280054
[Journal Article] Model-based reinforcement learning with dimension reduction2016
- Author(s)
  Tangkaratt, V., Morimoto, J., & Sugiyama, M.
- Journal Title
  
  Neural Networks
  
  Volume: 84 Pages: 1-16
- Peer Reviewed / Acknowledgement Compliant
- Data Source
  KAKENHI-PROJECT-25700022
[Journal Article] Regularized multi-task learning for multi-dimensional log-density gradient estimation2016
- Author(s)
  I. Yamane, H. Sasaki, and, M. Sugiyama
- Journal Title
  
  Neural Computation
  
  Volume: 28 Issue: 7 Pages: 1388-1410
- DOI
  10.1162/neco_a_00844
- NAID
  110009971442
- Peer Reviewed
- Data Source
  KAKENHI-PROJECT-26280054
[Journal Article] Importance-weighted covariance estimation for robust common spatial pattern2015
- Author(s)
  A. Balzi, F. Yger, and M. Sugiyama
- Journal Title
  
  Pattern Recognition Letters
  
  Volume: 68 Pages: 139-145
- DOI
  10.1016/j.patrec.2015.09.003
- NAID
  110009971424
- Peer Reviewed
- Data Source
  KAKENHI-PROJECT-26280054
[Journal Article] 相互情報量を用いた機械学習とそのロボティクスへの応用2015
- Author(s)
  杉山将, 入江清, 友納正裕
- Journal Title
  
  日本ロボット学会誌
  
  Volume: 33 Pages: 86-91
- NAID
  130005065137
- Acknowledgement Compliant
- Data Source
  KAKENHI-PROJECT-25700022
[Journal Article] Bandit-based task assignment for heterogeneous crowdsourcing2015
- Author(s)
  Zhang, H., Ma, Y., & Sugiyama, M.
- Journal Title
  
  Neural Computation
  
  Volume: 27 Pages: 2447-2475
- Peer Reviewed / Acknowledgement Compliant
- Data Source
  KAKENHI-PROJECT-25700022
[Journal Article] Direct density ratio estimation with convolutional neural networks with application in outlier detection2015
- Author(s)
  H. Nam, and M. Sugiyama
- Journal Title
  
  IEICE Transactions on Information and Systems
  
  Volume: E98-D
- NAID
  130005067754
- Peer Reviewed
- Data Source
  KAKENHI-PROJECT-26280054
[Journal Article] Direct Density Ratio Estimation with Convolutional Neural Networks with Application in Outlier Detection2015
- Author(s)
  H. Nam and M. Sugiyama
- Journal Title
  
  IEICE Trans. Inf. & Syst.
  
  Volume: E98.D Issue: 5 Pages: 1073-1079
- DOI
  10.1587/transinf.2014EDP7335
- NAID
  130005067754
- ISSN
  0916-8532, 1745-1361
- Language
  English
- Peer Reviewed
- Data Source
  KAKENHI-PROJECT-26280054
[Journal Article] Online direct density-ratio estimation applied to inlier-based outlier detection2015
- Author(s)
  du Plessis, M. C., Shiino, H., & Sugiyama, M.
- Journal Title
  
  Neural Computation
  
  Volume: 27 Pages: 1899-1914
- Peer Reviewed / Acknowledgement Compliant
- Data Source
  KAKENHI-PROJECT-25700022
[Journal Article] Direct conditional probability density estimation with sparse feature selection.2015
- Author(s)
  Shiga, M., Tangkaratt, V., & Sugiyama, M.
- Journal Title
  
  Machine Learning
  
  Volume: 100 Pages: 161-182
- Peer Reviewed / Acknowledgement Compliant
- Data Source
  KAKENHI-PLANNED-23120004
[Journal Article] Cross-domain matching with squared-loss mutual information2015
- Author(s)
  Yamada, M., Sigal, L., Raptis, M., Toyoda, M., Chang, Y., & Sugiyama, M.
- Journal Title
  
  IEEE Transactions on Pattern Analysis and Machine Intelligence
  
  Volume: 37 Pages: 1764-1776
- Peer Reviewed / Acknowledgement Compliant
- Data Source
  KAKENHI-PROJECT-25700022
[Journal Article] Least-squares independence regression for non-linear causal inference under non-Gaussian noise.2014
- Author(s)
  Yamada, M., Sugiyama, M., & Sese, J.
- Journal Title
  
  Machine Learning
  
  Volume: 96 Pages: 249-267
- Peer Reviewed / Acknowledgement Compliant
- Data Source
  KAKENHI-PROJECT-25700022
[Journal Article] Information-theoretic semi-supervised metric learning via entropy regularization2014
- Author(s)
  G. Niu, B. Dai, B., M. Yamada, and M. Sugiyama,
- Journal Title
  
  Neural Computation
  
  Volume: 26 Issue: 8 Pages: 1717-1762
- DOI
  10.1162/neco_a_00614
- Peer Reviewed
- Data Source
  KAKENHI-PROJECT-26280054
[Journal Article] Semi-supervised learning of class balance under class-prior change by distribution matching2014
- Author(s)
  du Plessis, M. C. & Sugiyama, M.
- Journal Title
  
  Neural Networks
  
  Volume: 50 Pages: 110-119
- NAID
  110009545983
- Peer Reviewed
- Data Source
  KAKENHI-PROJECT-25700022
[Journal Article] Information-maximization clustering based on squared-loss mutual information2014
- Author(s)
  Sugiyama, M., Niu, G., Yamada, M., Kimura, M., & Hachiya, H.
- Journal Title
  
  Neural Computation
  
  Volume: 26 Pages: 84-131
- Peer Reviewed
- Data Source
  KAKENHI-PROJECT-25700022
[Journal Article] Unsupervised dimension reduction via least-squares quadratic mutual information.2014
- Author(s)
  Sainui, J. & Sugiyama, M.
- Journal Title
  
  IEICE Transactions on Information and Systems
  
  Volume: E97-D Pages: 2806-2809
- NAID
  110009971453
- Peer Reviewed / Acknowledgement Compliant
- Data Source
  KAKENHI-PROJECT-25700022
[Journal Article] 非定常環境下での学習：共変量シフト適応，クラスバランス変化適応，変化検知.2014
- Author(s)
  杉山将, 山田誠, ドゥ・プレシマーティヌス・クリストフェル, リウソン.
- Journal Title
  
  日本統計学会論文誌
  
  Volume: 44 Pages: 113-136
- NAID
  110009864639
- Peer Reviewed / Acknowledgement Compliant
- Data Source
  KAKENHI-PROJECT-25700022
[Journal Article] Constrained least-squares density-difference estimation.2014
- Author(s)
  Nguyen, T. D., du Plessis, M. C., Kanamori, T., & Sugiyama, M.
- Journal Title
  
  IEICE Transactions on Information and Systems
  
  Volume: E97-D Pages: 1822-1829
- NAID
  130004519278
- Peer Reviewed / Acknowledgement Compliant
- Data Source
  KAKENHI-PROJECT-25700022
[Journal Article] Statistical analysis of distance estimators with density differences and density ratios2014
- Author(s)
  Kanamori, T. & Sugiyama, M.
- Journal Title
  
  Entropy
  
  Volume: 16 Pages: 921-942
- Peer Reviewed
- Data Source
  KAKENHI-PROJECT-25700022
[Journal Article] Class prior estimation from positive and unlabeled data.2014
- Author(s)
  du Plessis, M. C. & Sugiyama, M.
- Journal Title
  
  IEICE Transactions on Information and Systems
  
  Volume: E97-D Pages: 1358-1362
- NAID
  130004519253
- Peer Reviewed / Acknowledgement Compliant
- Data Source
  KAKENHI-PROJECT-25700022
[Journal Article] Information-theoretic semi-supervised metric learning via entropy regularization.2014
- Author(s)
  Niu, G., Dai, B., Yamada, M., & Sugiyama, M.
- Journal Title
  
  Neural Computation
  
  Volume: 26 Pages: 1717-1762
- Peer Reviewed / Acknowledgement Compliant
- Data Source
  KAKENHI-PLANNED-23120004
[Journal Article] Computationally efficient estimation of squared-loss mutual information with multiplicative kernel models.2014
- Author(s)
  Sakai, T. & Sugiyama, M.
- Journal Title
  
  IEICE Transactions on Information and Systems
  
  Volume: E97-D Pages: 968-971
- NAID
  110009886357
- Peer Reviewed / Acknowledgement Compliant
- Data Source
  KAKENHI-PLANNED-23120004
[Journal Article] Model-based policy gradients with parameter-based exploration by least-squares conditional density estimation.2014
- Author(s)
  Tangkaratt, V., Mori, S., Zhao, T., Morimoto, J., & Sugiyama, M.
- Journal Title
  
  Neural Networks
  
  Volume: 57 Pages: 128-140
- NAID
  110009713016
- Peer Reviewed / Acknowledgement Compliant
- Data Source
  KAKENHI-PLANNED-23120004
[Journal Article] Semi-supervised information-maximization clustering.2014
- Author(s)
  Calandriello, D., Niu, G., & Sugiyama, M.
- Journal Title
  
  Neural Networks
  
  Volume: 57 Pages: 103-111
- Peer Reviewed / Acknowledgement Compliant
- Data Source
  KAKENHI-PROJECT-25700022
[Journal Article] Constrained least-squares density-difference estimation.2014
- Author(s)
  Nguyen, T. D., du Plessis, M. C., Kanamori, T., & Sugiyama, M.
- Journal Title
  
  IEICE Transactions on Information and Systems
  
  Volume: E97-D Pages: 1822-1829
- NAID
  130004519278
- Peer Reviewed / Acknowledgement Compliant
- Data Source
  KAKENHI-PLANNED-23120004
[Journal Article] Tree-based ensemble multi-task learning method for classification and regression2014
- Author(s)
  J. Simm, I. Magrans de Abril, and M. Sugiyama
- Journal Title
  
  IEICE Transactions on Information and Systems
  
  Volume: E97-D
- NAID
  130004841806
- Peer Reviewed
- Data Source
  KAKENHI-PROJECT-23300069
[Journal Article] Direct approximation of quadratic mutual information and its application to dependence-maximization clustering.2013
- Author(s)
  Sainui, J. & Sugiyama, M.
- Journal Title
  
  IEICE Transactions on Information and Systems
  
  Volume: E96-D Pages: 2282-2285
- NAID
  130004519212
- Peer Reviewed
- Data Source
  KAKENHI-PROJECT-25700022
[Journal Article] Feature selection via l1-penalized squared-loss mutual information.2013
- Author(s)
  Jitkrittum, W., Hachiya, H., & Sugiyama, M.
- Journal Title
  
  IEICE Transactions on Information and Systems
  
  Volume: E96-D Pages: 1513-1524
- NAID
  130003370928
- Peer Reviewed
- Data Source
  KAKENHI-PLANNED-23120004
[Journal Article] Computationally efficient multi-label classification by least-square probabilistic classifiers2013
- Author(s)
  H. Nam, H. Hachiya, and M. Sugiyama
- Journal Title
  
  IEICE Transactions on Information and Systems
  
  Volume: E96-D Pages: 1871-1874
- NAID
  10031100385
- Peer Reviewed
- Data Source
  KAKENHI-PROJECT-23300069
[Journal Article] Densitydifference estimation2013
- Author(s)
  M. Sugiyama, T. Suzuki, T. Kanamori, T., M. C. du Plessis, S. Liu, and I. Takeuchi
- Journal Title
  
  Neural Computation
  
  Volume: Vol.25,No.10 Pages: 2734-2775
- Peer Reviewed
- Data Source
  KAKENHI-PROJECT-23300069
[Journal Article] Infinitesimal annealing for training semi-supervised support vector machines2013
- Author(s)
  K. Ogawa, M. Imamura, I. Takeuchi, and M. Sugiyama
- Journal Title
  
  International Conference on Machine Learning
  
  Volume: - Pages: 897-905
- Peer Reviewed
- Data Source
  KAKENHI-PROJECT-23300069
[Journal Article] Density-difference estimation2013
- Author(s)
  M. Sugiyama, T. Suzuki, T. Kanamori, M. C. du Plessis, S. Liu, and I. Takeuchi
- Journal Title
  
  Neural Computation
  
  Volume: 25 Issue: 10 Pages: 2734-2775
- DOI
  10.1162/neco_a_00492
- NAID
  110009588474
- Peer Reviewed
- Data Source
  KAKENHI-PROJECT-23300069, KAKENHI-PROJECT-24500340, KAKENHI-PROJECT-25730013
[Journal Article] Artist agent: A reinforcement learning approach to automatic stroke generation in oriental ink painting.2013
- Author(s)
  Xie, N., Hachiya, H., & Sugiyama, M.
- Journal Title
  
  IEICE Transactions on Information and Systems
  
  Volume: E96-D Pages: 1134-1144
- NAID
  10031193966
- Peer Reviewed
- Data Source
  KAKENHI-PLANNED-23120004
[Journal Article] 変分ベイズ学習理論の最新動向.2013
- Author(s)
  中島伸一, 杉山将.
- Journal Title
  
  日本応用数理学会論文誌
  
  Volume: 23 Pages: 453-483
- Peer Reviewed
- Data Source
  KAKENHI-PLANNED-23120004
[Journal Article] Efficient sample reuse in policy gradients with parameter-based exploration.2013
- Author(s)
  Zhao, T., Hachiya, H., Tangkaratt, V., Morimoto, J., & Sugiyama, M.
- Journal Title
  
  Neural Computation
  
  Volume: 25 Pages: 1512-1547
- NAID
  110009545976
- Peer Reviewed
- Data Source
  KAKENHI-PLANNED-23120004
[Journal Article] Variational Bayesian sparse additive matrix factorization.2013
- Author(s)
  Nakajima, S., Sugiyama, M., & Babacan, D.
- Journal Title
  
  Machine Learning
  
  Volume: 92 Pages: 319-347
- Peer Reviewed
- Data Source
  KAKENHI-PLANNED-23120004
[Journal Article] 確率分布間の距離推定：機械学習分野における最新動向2013
- Author(s)
  杉山将
- Journal Title
  
  日本応用数理学会論文誌
  
  Volume: 23 Pages: 439-452
- Peer Reviewed
- Data Source
  KAKENHI-PROJECT-23300069
[Journal Article] High-dimensional feature selection by feature-wise kernelized lasso.2013
- Author(s)
  Yamada, M., Jitkrittum, W., Sigal, L., Xing, E. P., & Sugiyama, M.
- Journal Title
  
  Neural Computation
  
  Volume: 26 Pages: 185-207
- Peer Reviewed
- Data Source
  KAKENHI-PLANNED-23120004
[Journal Article] Global analytic solution of fully-observed variational Bayesian matrix factorization.2013
- Author(s)
  Nakajima, S., Sugiyama, M., Babacan, D., & Tomioka, R.
- Journal Title
  
  Journal of Machine Learning Research
  
  Volume: 14 Pages: 1-37
- Peer Reviewed
- Data Source
  KAKENHI-PLANNED-23120004
[Journal Article] Learning under non-stationarity: Covariate shift and class-balance change.2013
- Author(s)
  Sugiyama, M., Yamada, M., & du Plessis, M. C.
- Journal Title
  
  WIREs Computational Statistics
  
  Volume: - Pages: 1-13
- Peer Reviewed
- Data Source
  KAKENHI-PROJECT-25700022
[Journal Article] Computationally efficient multi-label classification by least-squares probabilistic classifiers2013
- Author(s)
  H. Nam, H. Hachiya, and M. Sugiyama
- Journal Title
  
  IEICE Transactions on Information and Systems
  
  Volume: Vol.E96-D,No.8 Pages: 1871-1874
- NAID
  10031100385
- Peer Reviewed
- Data Source
  KAKENHI-PROJECT-23300069
[Journal Article] Least-squares probabilistic classifier : A computationally efficient alternative to kernel logistic regression2012
- Author(s)
  M.Sugiyama, H.Hachiya, M.Yamada, J.Simm, H.Nam
- Journal Title
  
  Proceedings of International Workshop on Statistical Machine Learning for Speech Processing
  
  Volume: (CD-ROM) Pages: 1-10
- Peer Reviewed
- Data Source
  KAKENHI-PROJECT-23300069
[Journal Article] Improving importance estimation in pool-based batch active learning for approximate linear regression.2012
- Author(s)
  Kurihara, N. & Sugiyama, M.
- Journal Title
  
  Neural Networks
  
  Volume: 36 Pages: 73-82
- NAID
  110009545986
- Peer Reviewed
- Data Source
  KAKENHI-PLANNED-23120004
[Journal Article] Multi-task approach to reinforcement learning for factored-state Markov decision problems.2012
- Author(s)
  Simm, J., Sugiyama, M., & Hachiya, H.
- Journal Title
  
  IEICE Transactions on Information and Systems
  
  Volume: .E95-D Pages: 2426-2437
- NAID
  10031142861
- Peer Reviewed
- Data Source
  KAKENHI-PLANNED-23120004
[Journal Article] Analysis and improvement of policy gradient estimation.2012
- Author(s)
  Zhao, T., Hachiya, H., Niu, G., & Sugiyama, M.
- Journal Title
  
  Neural Networks
  
  Volume: 26 Pages: 118-129
- NAID
  110008746381
- Peer Reviewed
- Data Source
  KAKENHI-PLANNED-23120004
[Journal Article] Density difference estimation2012
- Author(s)
  M. Sugiyama
- Journal Title
  
  Advances in Neural Information Processing Systems
  
  Volume: 25 Pages: 692-700
- NAID
  110009588474
- Peer Reviewed
- Data Source
  KAKENHI-PROJECT-23300069
[Journal Article] Early stopping heuristics in pool-based incremental active learning for least-squares probabilistic classifier.2012
- Author(s)
  Kobayashi, T. & Sugiyama, M.
- Journal Title
  
  IEICE Transactions on Information and Systems
  
  Volume: E95-D Pages: 2065-2073
- NAID
  10031126715
- Peer Reviewed
- Data Source
  KAKENHI-PLANNED-23120004
[Journal Article] Super-linear convergence of dual augmented Lagrangian algorithm for sparsity regularized estimation2011
- Author(s)
  Tomioka, R., Suzuki, T., & Sugiyama, M.
- Journal Title
  
  Journal of Machine Learning Research
  
  Volume: 12 Pages: 1537-1586
- Peer Reviewed
- Data Source
  KAKENHI-PLANNED-23120004
[Journal Article] Target neighbor consistent feature weighting for nearest neighbor classification2011
- Author(s)
  Takeuchi, I. & Sugiyama, M.
- Journal Title
  
  Advances in Neural Information Processing Systems
  
  Volume: 24 Pages: 576-584
- Peer Reviewed
- Data Source
  KAKENHI-PLANNED-23120004
[Journal Article] Reward weighted regression with sample reuse for direct policy search in reinforcement learning2011
- Author(s)
  Hachiya, H., Peters, J., & Sugiyama M.
- Journal Title
  
  Neural Computation
  
  Volume: vol.23, no.11 Pages: 2798-2832
- Peer Reviewed
- Data Source
  KAKENHI-PROJECT-20680007
[Journal Article] Analysis and improvement of policy gradient estimation.2011
- Author(s)
  Zhao, T., Hachiya, H., Niu, G., & Sugiyama, M.
- Journal Title
  
  Advances in Neural Information Processing Systems
  
  Volume: 24 Pages: 262-270
- NAID
  110008746381
- Peer Reviewed
- Data Source
  KAKENHI-PLANNED-23120004
[Journal Article] Lighting condition adaptation for perceived age estimation2011
- Author(s)
  Ueki, K., Sugiyama, M., & Ihara, Y.
- Journal Title
  
  Transactions on Information and Systems
  
  Volume: vol.E94-D, no.2 Pages: 392-395
- NAID
  130000453904
- Peer Reviewed
- Data Source
  KAKENHI-PROJECT-20680007
[Journal Article] Reward weighted regression with sample reuse for direct policy search in reinforcement learning2011
- Author(s)
  Hachiya, H., Peters, J., Sugiyama, M.
- Journal Title
  
  Neural Computation
  
  Volume: 23 Pages: 2798-2832
- Peer Reviewed
- Data Source
  KAKENHI-PROJECT-20680007
[Journal Article] Efficient exploration through active learning for value function approximation in reinforcement learning.2010
- Author(s)
  Akiyama, T., Hachiya, H., Sugiyama, M.
- Journal Title
  
  NeuralNetworks vol.23, no.5
  
  Pages: 639-648
- NAID
  130008079582
- URL
  http://sugiyama-www.cs.titech.ac.jp/~sugi/2010/API.pdf
- Data Source
  KAKENHI-PROJECT-20680007
[Journal Article] Semi supervised speaker identification under covariate shift.2010
- Author(s)
  Yamada, M., Sugiyama, M., Matsui, T.
- Journal Title
  
  Signal Processing
  
  Volume: 90 Pages: 2353-2361
- NAID
  130008079628
- Peer Reviewed
- Data Source
  KAKENHI-PROJECT-20680007
[Journal Article] Semi-supervised speaker identification under covariate shift2010
- Author(s)
  Yamada, M., Sugiyama, M., & Matsui, T.
- Journal Title
  
  Signal Processing
  
  Volume: vol.90, no.8 Pages: 2353-2361
- NAID
  130008079628
- Peer Reviewed
- Data Source
  KAKENHI-PROJECT-20680007
[Journal Article] Efficient exploration through active learning for value function approximation in reinforcement learning2010
- Author(s)
  Akiyama, T., Hachiya, H., & Sugiyama, M.
- Journal Title
  
  Neural Networks
  
  Volume: vol.23, no.5 Pages: 639-648
- NAID
  130008079582
- Peer Reviewed
- Data Source
  KAKENHI-PROJECT-20680007
[Journal Article] Application of covariate shift adaptation techniques in brain computer interfaces.2010
- Author(s)
  Li, Y., Kambara, H., Koike, Y., Sugiyama, M.
- Journal Title
  
  IEEE Trans.on Biomedical Engineering
  
  Volume: 57 Pages: 1318-1324
- Peer Reviewed
- Data Source
  KAKENHI-PROJECT-20680007
[Journal Article] Application of covariate shift adaptation techniques in brain computer interfaces2010
- Author(s)
  Li, Y., Kambara, H., Koike, Y., & Sugiyama, M.
- Journal Title
  
  IEEE Transactions on Biomedical Engineering
  
  Volume: vol.57, no.6 Pages: 1318-1324
- Peer Reviewed
- Data Source
  KAKENHI-PROJECT-20680007
[Journal Article] Application of covariate shift adaptation techniques in brain computer interfaces.2010
- Author(s)
  Li, Y., Kambara, H., Koike, Y., Sugiyama, M.
- Journal Title
  
  IEEE Transactions on Biomedical Engineering vol.57, no.6
  
  Pages: 1318-1324
- URL
  http://sugiyama-www.cs.titech.ac.jp/~sugi/2010/BIWLDA.pdf
- Data Source
  KAKENHI-PROJECT-20680007
[Journal Article] Dimensionality reduction for density ratio estimation in high-dimensional spaces2010
- Author(s)
  Sugiyama, M., Kawanabe, M., & Chui, P. L.
- Journal Title
  
  Neural Networks
  
  Volume: vol.23, no.1 Pages: 44-59
- NAID
  130008079586
- Peer Reviewed
- Data Source
  KAKENHI-PROJECT-20680007
[Journal Article] Semi-supervised speaker identification under covariate shift.2010
- Author(s)
  Yamada, M., Sugiyama, M., Matsui, T.
- Journal Title
  
  Signal Processing vol.90, no.8
  
  Pages: 2353-2361
- NAID
  130008079628
- URL
  http://sugiyama-www.cs.titech.ac.jp/~sugi/2010/IWKLR.pdf
- Data Source
  KAKENHI-PROJECT-20680007
[Journal Article] Efficient exploration through active learning for value function approximation in reinforcement learning.2010
- Author(s)
  Akiyama, T., Hachiya, H., Sugiyama, M.
- Journal Title
  
  Neural Networks
  
  Volume: 23 Pages: 639-648
- NAID
  130008079582
- Peer Reviewed
- Data Source
  KAKENHI-PROJECT-20680007
[Journal Article] A least-squares approach to direct importance estimation.2009
- Author(s)
  Kanamori, T., Hido, S., Sugiyama, M.
- Journal Title
  
  Journal of Machine Learning Research vol.10 (Jul.)
  
  Pages: 1391-1445
- URL
  http://sugiyama-www.cs.titech.ac.jp/~sugi/2009/LSIF.pdf
- Data Source
  KAKENHI-PROJECT-20680007
[Journal Article] A density-ratio framework for statistical data processing2009
- Author(s)
  Sugiyama, M., Kanamori, T., Suzuki, T., Hido, S., Sese, J., Takeuchi, I., Wang, L.
- Journal Title
  
  IPSJ Transactions on Computer Vision and Applications 1
  
  Pages: 183-208
- NAID
  130000140299
- Peer Reviewed
- Data Source
  KAKENHI-PROJECT-20680007
[Journal Article] Efficient direct density ratio estimation for non-stationarity adaptation and outlier detection2009
- Author(s)
  T. Kanamori, S. Hido, M. Sugiyama
- Journal Title
  
  Advances in Neural Information Processing Systems 21
  
  Pages: 809-816
- Peer Reviewed
- Data Source
  KAKENHI-PROJECT-18300057
[Journal Article] Adaptive importance sampling for value function approximation in off-policy reinforcement learning2009
- Author(s)
  Hachiya, H., Akiyama, T., Sugiyama, M., Peters, J
- Journal Title
  
  Neural Networks 22
  
  Pages: 1399-1410
- Peer Reviewed
- Data Source
  KAKENHI-PROJECT-20680007
[Journal Article] Adaptive importance sampling for value function approximation in off-policy reinforcement learning2009
- Author(s)
  Hachiya, H., Akiyama, T., Sugiyama, M., & Peters, J.
- Journal Title
  
  Neural Networks
  
  Volume: vol.22, no.10 Pages: 1399-1410
- Peer Reviewed
- Data Source
  KAKENHI-PROJECT-20680007
[Journal Article] Direct density ratio estimation for large-scale covariate shift adaptation2009
- Author(s)
  Tsuboi, Y., Kashima, H., Hido, S., Bickel, S., & Sugiyama, M.
- Journal Title
  
  Journal of Information Processing
  
  Volume: vol.17 Pages: 138-155
- NAID
  130000120692
- Data Source
  KAKENHI-PROJECT-20680007
[Journal Article] Adaptive importance sampling for value function approximation in off-policy reinforcement learning2009
- Author(s)
  H. Hachiya, T. Akiyama, M. Sugiyama, J. Peters
- Journal Title
  
  Neural Networks (In press)
- Peer Reviewed
- Data Source
  KAKENHI-PROJECT-18300057
[Journal Article] A least-squares approach to direct importance estimation2009
- Author(s)
  Kanamori, T., Hido, S., Sugiyama, M.
- Journal Title
  
  Journal of Machine Learning Research 10
  
  Pages: 1391-1445
- Peer Reviewed
- Data Source
  KAKENHI-PROJECT-20680007
[Journal Article] Pool-based active learning in approximate linear regression.2009
- Author(s)
  Sugiyama, M., Nakajima, S.
- Journal Title
  
  Machine Learning vol.75, no.3
  
  Pages: 249-274
- URL
  http://sugiyama-www.cs.titech.ac.jp/~sugi/2009/PALICE.pdf
- Data Source
  KAKENHI-PROJECT-20680007
[Journal Article] Adaptive importance sampling for value function approximation in off-policy reinforcement learning.2009
- Author(s)
  Hachiya, H., Akiyama, T., Sugiyama, M., Peters, J.
- Journal Title
  
  Neural Networks vol.22, no.10
  
  Pages: 1399-1410
- URL
  http://sugiyama-www.cs.titech.ac.jp/~sugi/2009/SRPI.pdf
- Data Source
  KAKENHI-PROJECT-20680007
[Journal Article] A batch ensemble approach to active learning with model selection2009
- Author(s)
  M. Sugiyama, N. Rubens
- Journal Title
  
  Neural Networks 50
  
  Pages: 1278-1286
- Peer Reviewed
- Data Source
  KAKENHI-PROJECT-18300057
[Journal Article] Direct density ratio estimation for large scale covariate shift adaptation2009
- Author(s)
  Y. Tsuboi, H. Kashima, S. Hido, S. Bickel,and M. Sugiyama
- Journal Title
  
  IPSJ Journal 50
  
  Pages: 1-19
- NAID
  130000120692
- Peer Reviewed
- Data Source
  KAKENHI-PROJECT-18300057
[Journal Article] A least-squares approach to direct importance estimation2009
- Author(s)
  Kanamori, T., Hido, S., & Sugiyama, M.
- Journal Title
  
  Journal of Machine Learning Research
  
  Volume: vol.10 Pages: 1391-1445
- Peer Reviewed
- Data Source
  KAKENHI-PROJECT-20680007
[Journal Article] Direct density ratio estimation for large-scale covariate shift adaptation2009
- Author(s)
  Y. Tsuboi, H, Kashima, S. Hido, S. Bickel, M. Sugiyama
- Journal Title
  
  IPSJ Journal 50
  
  Pages: 1-19
- NAID
  130000120692
- Peer Reviewed
- Data Source
  KAKENHI-PROJECT-18300057
[Journal Article] A density-ratio framework for statistical data processing2009
- Author(s)
  Sugiyama, M., Kanamori, T., Suzuki, T., Hido, S., Sese, J., Takeuchi, I., & Wang, L.
- Journal Title
  
  IPSJ Transactions on Computer Vision and Applications
  
  Volume: vol.1 Pages: 183-208
- NAID
  130000140299
- Peer Reviewed
- Data Source
  KAKENHI-PROJECT-20680007
[Journal Article] Direct importance estimation with Gaussian mixture models2009
- Author(s)
  Yamada, M. & Sugiyama, M
- Journal Title
  
  IEICE Transactions on Information and Systems
  
  Volume: vol.E92-D, no.10 Pages: 2159-2162
- NAID
  10026811983
- Peer Reviewed
- Data Source
  KAKENHI-PROJECT-20680007
[Journal Article] Direct importance estimation for covariate shift adaptation.2008
- Author(s)
  Sugiyama, M., Suzuki, T., Nakajima, S., Kashima, H., von Bunau, P., Kawanabe, M.
- Journal Title
  
  Annals of the Institute of Statistical Mathematics vol.60, no.4
  
  Pages: 699-746
- URL
  http://sugiyama-www.cs.titech.ac.jp/~sugi/2008/KLIEP.pdf
- Data Source
  KAKENHI-PROJECT-20680007
[Journal Article] Direct importance estimation with model selection and its application to covariate shift adaptation2008
- Author(s)
  M. Sugiyama, S. Nakajima, H. Kashima, von P. Bnau and M. Kawanabe
- Journal Title
  
  Advances in Neural Information Processing Systems 20
- Peer Reviewed
- Data Source
  KAKENHI-PROJECT-18300057
[Journal Article] Direct importance estimation for covariate shift adaptation2008
- Author(s)
  M. Sugiyama, T. Suzuki, S. Nakajima, H. Kashima, p. von Beunau, M. Kawanabe
- Journal Title
  
  Annals of the Institute of Statistical Mathematics 60
  
  Pages: 699-746
- Peer Reviewed
- Data Source
  KAKENHI-PROJECT-18300057
[Journal Article] Direct importance estimation for covariate shift adaptation2008
- Author(s)
  Sugiyama, M., Suzuki, T., Nakajima, S., Kashima, H., von Bunau, P., & Kawanabe, M.
- Journal Title
  
  Annals of the Institute of Statistical Mathematics
  
  Volume: vol.60, no.4 Pages: 699-746
- Peer Reviewed
- Data Source
  KAKENHI-PROJECT-20680007
[Journal Article] Direct importance estimation for covariate shift adaptation.2008
- Author(s)
  Sugiyama, M., Suzuki, T., Nakajima, S., Kashima, H., von Biinau, P. & Kawanabe, M
- Journal Title
  
  Annals of the Institute of Statistical Mathematics 60(4)
  
  Pages: 699-746
- Peer Reviewed
- Data Source
  KAKENHI-PROJECT-20680007
[Journal Article] A batch ensemble approach to active learning with model selection2008
- Author(s)
  Sugiyama, M. & Rubens, N.
- Journal Title
  
  Neural Networks
  
  Volume: vol.21, no.9 Pages: 1278-1286
- Peer Reviewed
- Data Source
  KAKENHI-PROJECT-20680007
[Journal Article] A batch ensemble approach to active learning with model selection2008
- Author(s)
  M. Sugiyama and N. Rubens
- Journal Title
  
  Neural Networks 21
  
  Pages: 1278-1286
- Peer Reviewed
- Data Source
  KAKENHI-PROJECT-18300057
[Journal Article] Pool-based agnostic experiment design in linear regression.2008
- Author(s)
  M. Sugiyama, S. Nakajima
- Journal Title
  
  Lecture Notes in Computer Science 5212
  
  Pages: 406-422
- Peer Reviewed
- Data Source
  KAKENHI-PROJECT-18300057
[Journal Article] Covariate shift adaptation by importance weighted cross validation.2007
- Author(s)
  Sugiyama, M., Krauledat, M., & Moller, K.-R.
- Journal Title
  
  Journal of Machine Learning Research 8
  
  Pages: 985-1005
- Peer Reviewed
- Data Source
  KAKENHI-PROJECT-17700142
[Journal Article] Generalization error estimation for non-linear learning methods2007
- Author(s)
  M. Sugiyama
- Journal Title
  
  IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences E90-A
  
  Pages: 1496-1499
- NAID
  110007538081
- Peer Reviewed
- Data Source
  KAKENHI-PROJECT-18300057
[Journal Article] A new algorithm of non-Gaussian component analysis with radial kernel functions2007
- Author(s)
  Kawanabe, M., Sugiyama, M., Blanchard, G., Muller, K.-R
- Journal Title
  
  Annals of the Institute of Statistical Mathematics vol.59,no.1
  
  Pages: 57-75
- Data Source
  KAKENHI-PROJECT-17700142
[Journal Article] Dimensionality reduction of multimodal labeled data by local Fisher discriminant analysis2007
- Author(s)
  M. Sugiyama
- Journal Title
  
  Journal of Machine Learning Research 8
  
  Pages: 1027-1061
- Peer Reviewed
- Data Source
  KAKENHI-PROJECT-18300057
[Journal Article] Generalization error estimation for non-linear learning methods.2007
- Author(s)
  Sugiyama, M.
- Journal Title
  
  IEICE Transactions on Fundamentals of Electronics. Communications and Computer Sciences E90-A
  
  Pages: 1496-1499
- NAID
  110007538081
- Peer Reviewed
- Data Source
  KAKENHI-PROJECT-17700142
[Journal Article] Analytic optimization of adaptive ridge parameters based on regularized subspace information criterion.2007
- Author(s)
  Gokita, S., Sugiyama, M., & Sakurai, K
- Journal Title
  
  IEICE Transactions on Fundamentals of Electronic, Communications and Computer Sciences E90-A
  
  Pages: 2584-2592
- NAID
  110007537996
- Peer Reviewed
- Data Source
  KAKENHI-PROJECT-17700142
[Journal Article] Covariate shift adaptation by importance weighted cross validation2007
- Author(s)
  M. Sugiyama, M. Krauledat, K.-R. Mueller
- Journal Title
  
  Journal of Machine Learning Research 8
  
  Pages: 985-1005
- Peer Reviewed
- Data Source
  KAKENHI-PROJECT-18300057
[Journal Article] Local Fisher discriminant analysis for supervised dimensionality reduction2006
- Author(s)
  Sugiyama, M.
- Journal Title
  
  Proceedings of 23rd International Conference on Machine Learning, Pittsburgh, Pennsylvania, USA, 2006.6.25-29
  
  Pages: 905-912
- Data Source
  KAKENHI-PROJECT-17700142
[Journal Article] 共変量シフト下での教師付き学習2006
- Author(s)
  杉山将
- Journal Title
  
  日本神経回路学会誌 vol.13,no.3
  
  Pages: 111-118
- NAID
  10018266940
- Data Source
  KAKENHI-PROJECT-17700142
[Journal Article] Mixture regression for covariate shift2006
- Author(s)
  Storkey, A., Sugiyama, M
- Journal Title
  
  Advances in Neural Information Processing Systems 19
- Data Source
  KAKENHI-PROJECT-17700142
[Journal Article] Active learning in approximately linear regression based on conditional expectation generalization error.2006
- Author(s)
  Sugiyama, M.
- Journal Title
  
  Journal of Machine Learning Research 7.Jan
  
  Pages: 141-166
- Data Source
  KAKENHI-PROJECT-17700142
[Journal Article] 共変量シフト下での教師付き学習2006
- Author(s)
  杉山将
- Journal Title
  
  日本神経回路学会誌 13・3
  
  Pages: 111-118
- NAID
  10018266940
- Data Source
  KAKENHI-PROJECT-18300057
[Journal Article] Importance-weighted cross-validation for covariate shift2006
- Author(s)
  Sugiyama, M., Blankertz, B., Krauledat, M., Donehege, G., Muller, K.-R
- Journal Title
  
  Pattern Recognition, Lecture Notes in Computer Science vol.4147
  
  Pages: 354-363
- Data Source
  KAKENHI-PROJECT-17700142
[Journal Article] Importance-weighted cross-validation for covariate shift2006
- Author(s)
  Sugiyama, M, Blankertz, B, Krauledat, M, Donehege G, Mller, K.-R
- Journal Title
  
  Pattern Recognition, Lecture Notes in Computer Science 47
  
  Pages: 354-363
- Data Source
  KAKENHI-PROJECT-18300057
[Journal Article] Obtaining the best linear unbiased estimator of noisy signals by non-Gaussian component analysis2006
- Author(s)
  Sugiyama, M., Kawanabe, M., Blanchard, G., Spokoiny, V., Muller, K.-R
- Journal Title
  
  Proceedings of 2006 IEEE International Conference on Acoustics, Speech, and Signal Processing, Toulouse, France, 2006.5.14-19. vol,3
  
  Pages: 608-611
- Data Source
  KAKENHI-PROJECT-17700142
[Journal Article] Model selection under covariate shift.2005
- Author(s)
  Sugiyama, M., Mueller, K.-R.
- Journal Title
  
  Artificial Neural Networks : Formal Models and Their Applications 3697
  
  Pages: 235-240
- Data Source
  KAKENHI-PROJECT-17700142
[Journal Article] Generalization error estimation under covariate shift.2005
- Author(s)
  Sugiyama, M., Mueller, K.-R.
- Journal Title
  
  第8回情報論的学習理論ワークショップ予稿集
  
  Pages: 21-26
- Data Source
  KAKENHI-PROJECT-17700142
[Journal Article] An active learning algorithm for approximately correct models.2005
- Author(s)
  Sugiyama, M.
- Journal Title
  
  第8回情報論的学習理論ワークショップ予稿集
  
  Pages: 57-62
- Data Source
  KAKENHI-PROJECT-17700142
[Journal Article] 正則化汎化誤差推定量を用いた解析的モデル最適化.2005
- Author(s)
  櫻井啓介, 杉山将
- Journal Title
  
  画像の認識・理解シンポジウム2005(MIRU2005)論文集
  
  Pages: 1013-1020
- Data Source
  KAKENHI-PROJECT-17700142
[Journal Article] Perturbation analysis of a generalization error estimator2004
- Author(s)
  M.Sugiyama, Y.Okabe, H.Ogawa
- Journal Title
  
  Neural Information Processing 2(2)
  
  Pages: 33-38
- Description
  「研究成果報告書概要(欧文)」より
- Data Source
  KAKENHI-PROJECT-14380158
[Journal Article] Perturbation analysis of a generalization error estimator2004
- Author(s)
  M.Sugiyama, Y.Okabe, H.Ogawa
- Journal Title
  
  Neural Information Processing 2・2
  
  Pages: 33-38
- Description
  「研究成果報告書概要(和文)」より
- Data Source
  KAKENHI-PROJECT-14380158
[Journal Article] Trading variance reduction with unbiasedness : The regularized subspace information criterion for robust model selection in kernel regression2004
- Author(s)
  M.Sugiyama, M.Kawanabe, K.-R.Muller
- Journal Title
  
  Neural Computation 16・5
  
  Pages: 1077-1104
- Description
  「研究成果報告書概要(和文)」より
- Data Source
  KAKENHI-PROJECT-14380158
[Journal Article] Trading variance reduction with unbiasedness : The regularized subspace information criterion for robust model selection in kernel regression2004
- Author(s)
  M.Sugiyama, M.Kawanabe, K.-R.Muller
- Journal Title
  
  Neural Computation 16(59
  
  Pages: 1077-1104
- Description
  「研究成果報告書概要(欧文)」より
- Data Source
  KAKENHI-PROJECT-14380158
[Journal Article] Adaptive importance sampling for value function approximation in off-policy reinforcement learning
- Author(s)
  Hachiya, H., Akiyama, T., Sugiyama, M., & Peters, J
- Journal Title
  
  Neural Network
- Peer Reviewed
- Data Source
  KAKENHI-PROJECT-20680007
[Presentation] Positive-unlabeled classification under class-prior shift: A prior-invariant approach based on density ratio estimation2021
- Author(s)
  Shota Nakajima, Masashi Sugiyama
- Organizer
  t IJCAI2021 Weakly Supervised Representation Learning Workshop
- Data Source
  KAKENHI-PROJECT-20H04206
[Presentation] Bayesian posterior approximation via greedy particle optimization.2019
- Author(s)
  Futami, F., Cui, Z., Sato, I., & Sugiyama, M.
- Organizer
  AAAI Conference on Artificial Intelligence (AAAI2019)
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-17H00757
[Presentation] Dueling bandits with qualitative feedback.2019
- Author(s)
  Xu, L., Honda, J., & Sugiyama, M.
- Organizer
  AAAI Conference on Artificial Intelligence (AAAI2019)
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-17H00757
[Presentation] Bayesian nonparametric Poisson-process allocation for time-sequence modeling2018
- Author(s)
  Ding, H., Khan, M. E., Sato, I., & Sugiyama, M.
- Organizer
  International Conference on Artificial Intelligence and Statistics (AISTATS2018)
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-17H00757
[Presentation] Guide actor-critic for continuous control2018
- Author(s)
  Tangkaratt, V., Abdolmaleki, A., & Sugiyama, M.
- Organizer
  International Conference on Learning Representations (ICLR2018)
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-17H00757
[Presentation] Variational inference for Gaussian process with panel count data.2018
- Author(s)
  Ding, H., Lee, Y., Sato, I., & Sugiyama, M.
- Organizer
  Conference on Uncertainty in Artificial Intelligence (UAI2018)
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-17H00757
[Presentation] Lipschitz-margin training: Scalable certification of perturbation invariance for deep neural networks.2018
- Author(s)
  Tsuzuku, Y., Sato, I., & Sugiyama, M.
- Organizer
  Neural Information Processing Systems (NeurIPS2018)
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-17H00757
[Presentation] Fully adaptive algorithm for pure exploration in linear bandits.2018
- Author(s)
  Xu, L., Honda, J., & Sugiyama, M.
- Organizer
  International Conference on Artificial Intelligence and Statistics (AISTATS2018)
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-17H00757
[Presentation] Continuous-time value function approximation in reproducing kernel Hilbert spaces.2018
- Author(s)
  Ohnishi, M., Yukawa, M., Johansson, M., & Sugiyama, M.
- Organizer
  Neural Information Processing Systems (NeurIPS2018)
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-17H00757
[Presentation] Guide actor-critic for continuous control.2018
- Author(s)
  Tangkaratt, V., Abdolmaleki, A., & Sugiyama, M.
- Organizer
  International Conference on Learning Representations (ICLR2018)
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-17H00757
[Presentation] Fully adaptive algorithm for pure exploration in linear bandits2018
- Author(s)
  Xu, L., Honda, J., & Sugiyama, M.
- Organizer
  International Conference on Artificial Intelligence and Statistics (AISTATS2018)
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-17H00757
[Presentation] Analysis of minimax error rate for crowdsourcing and its application to worker clustering model.2018
- Author(s)
  Imamura, H., Sato, I., & Sugiyama, M.
- Organizer
  International Conference on Machine Learning (ICML2018)
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-17H00757
[Presentation] Variational inference based on robust divergences2018
- Author(s)
  Futami, F., Sato, I., & Sugiyama, M.
- Organizer
  International Conference on Artificial Intelligence and Statistics (AISTATS2018)
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-17H00757
[Presentation] Hierarchical policy search via return-weighted density estimation2018
- Author(s)
  Osa, T. & Sugiyama, M.
- Organizer
  AAAI Conference on Artificial Intelligence (AAAI2018)
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-17H00757
[Presentation] Bayesian nonparametric Poisson-process allocation for time-sequence modeling.2018
- Author(s)
  Ding, H., Khan, M. E., Sato, I., & Sugiyama, M.
- Organizer
  International Conference on Artificial Intelligence and Statistics (AISTATS2018)
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-17H00757
[Presentation] Policy search with high-dimensional context variables2017
- Author(s)
  Tangkaratt, V., van Hoof, H., Parisi, S., Neumann, G., Peters, J., & Sugiyama, M.
- Organizer
  Twenty-Ninth AAAI Conference on Artificial Intelligence (AAAI2017)
- Place of Presentation
  San Francisco, California, USA
- Year and Date
  2017-02-04
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-25700022
[Presentation] Expectation propagation for t-exponential family using q-algebra2017
- Author(s)
  Futami, F., Sato, I., & Sugiyama, M.
- Organizer
  Neural Information Processing Systems (NIPS2017)
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-17H00757
[Presentation] Good arm identification from bandit feedback2017
- Author(s)
  Kano, H., Honda, J., Sakamaki, K., Matsuura, K., Nakamura, A., & Sugiyama, M.
- Organizer
  2017 Workshop on Information-Based Induction Sciences (IBIS2017)
- Data Source
  KAKENHI-PROJECT-17H00757
[Presentation] Least-squares log-density gradient clustering for Riemannian manifolds2017
- Author(s)
  Ashizawa, M., Sasaki, H., Sakai, T., & Sugiyama, M.
- Organizer
  29th International Conference on Artificial Intelligence and Statistics (AISTATS2017)
- Place of Presentation
  Fort Lauderdale, Florida, USA
- Year and Date
  2017-04-20
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-25700022
[Presentation] Non-Gaussian component analysis with log-density gradient estimation2016
- Author(s)
  Sasaki, H., Niu, G., & Sugiyama, M.
- Organizer
  19th International Conference on Artificial Intelligence and Statistics (AISTATS2016)
- Place of Presentation
  Cadiz, Spain
- Year and Date
  2016-05-09
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-25700022
[Presentation] Semi-supervised sufficient dimension reduction under class-prior change2016
- Author(s)
  Kawakubo, H. & Sugiyama, M.
- Organizer
  Conference on Technologies and Applications of Artificial Intelligence (TAAI2016)
- Place of Presentation
  Hsinchu, Taiwan
- Year and Date
  2016-11-25
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-25700022
[Presentation] Modal regression via direct log-density derivative estimation2016
- Author(s)
  Sasaki, H., Ono, Y., & Sugiyama, M.
- Organizer
  23rd International Conference on Neural Information Processing (ICONIP2016)
- Place of Presentation
  Kyoto, Japan
- Year and Date
  2016-10-16
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-25700022
[Presentation] Geometry-aware stationary subspace analysis2016
- Author(s)
  Horev, I., Yger, F., & Sugiyama, M.
- Organizer
  8th Asian Conference on Machine Learning (ACML2016)
- Place of Presentation
  Hamilton, New Zealand
- Year and Date
  2016-11-16
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-25700022
[Presentation] Direct density-derivative estimation and its application in KL-divergence approximation.2015
- Author(s)
  Sasaki, H., Noh, Y.-K., & Sugiyama, M.
- Organizer
  International Conference on Artificial Intelligence and Statistics (AISTATS2015)
- Place of Presentation
  San Diego, California, USA
- Year and Date
  2015-05-09
- Int'l Joint Research
- Data Source
  KAKENHI-PLANNED-23120004
[Presentation] Stroke-based stylization learning and rendering with inverse reinforcement learning.2015
- Author(s)
  Xie, N., Zhao, T., Tian, F., Zhang, X., & Sugiyama, M.
- Organizer
  International Joint Conference on Artificial Intelligence (IJCAI2015)
- Place of Presentation
  Buenos Aires, Argentina
- Year and Date
  2015-07-25
- Int'l Joint Research
- Data Source
  KAKENHI-PLANNED-23120004
[Presentation] Geometry-aware principal component analysis for symmetric positive definite matrices2015
- Author(s)
  Horev, I., Yger, F., & Sugiyama, M.
- Organizer
  Asian Conference on Machine Learning (ACML2015)
- Place of Presentation
  Hong Kong, China
- Year and Date
  2015-11-20
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-25700022
[Presentation] Geometry-aware principal component analysis for symmetric positive definite matrices.2015
- Author(s)
  Horev, I., Yger, F., & Sugiyama, M.
- Organizer
  Asian Conference on Machine Learning (ACML2015)
- Place of Presentation
  Hong Kong, China
- Year and Date
  2015-11-20
- Int'l Joint Research
- Data Source
  KAKENHI-PLANNED-23120004
[Presentation] Class-prior estimation for learning from positive and unlabeled data2015
- Author(s)
  du Plessis, M. C., Niu, G., & Sugiyama, M.
- Organizer
  Asian Conference on Machine Learning (ACML2015)
- Place of Presentation
  Hong Kong, China
- Year and Date
  2015-11-20
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-25700022
[Presentation] Regularized policy gradients: Direct variance reduction in policy gradient estimation.2015
- Author(s)
  Zhao, T., Niu, G., Xie, N., Yang, J., & Sugiyama, M.
- Organizer
  Asian Conference on Machine Learning (ACML2015)
- Place of Presentation
  Hong Kong, China
- Year and Date
  2015-11-20
- Int'l Joint Research
- Data Source
  KAKENHI-PLANNED-23120004
[Presentation] Target shift adaptation in supervised learning2015
- Author(s)
  Nguyen, T. D., du Plessis, M. C., & Sugiyama, M.
- Organizer
  Asian Conference on Machine Learning (ACML2015)
- Place of Presentation
  Hong Kong, China
- Year and Date
  2015-11-20
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-25700022
[Presentation] Sufficient dimension reduction via direct estimation of the gradients of logarithmic conditional densities2015
- Author(s)
  Sasaki, H., Tangkaratt, V., & Sugiyama, M.
- Organizer
  Asian Conference on Machine Learning (ACML2015)
- Place of Presentation
  Hong Kong, China
- Year and Date
  2015-11-20
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-25700022
[Presentation] Sufficient dimension reduction via direct estimation of the gradients of logarithmic conditional densities.2015
- Author(s)
  Sasaki, H., Tangkaratt, V., & Sugiyama, M.
- Organizer
  Asian Conference on Machine Learning (ACML2015)
- Place of Presentation
  Hong Kong, China
- Year and Date
  2015-11-20
- Int'l Joint Research
- Data Source
  KAKENHI-PLANNED-23120004
[Presentation] Global solver and its efficient approximation for variational Bayesian low-rank subspace clustering.2013
- Author(s)
  Nakajima, S., Takeda, A., Babacan, D., Sugiyama, M., & Takeuchi, I.
- Organizer
  Neural Information Processing Systems (NIPS2013)
- Place of Presentation
  Lake Tahoe, Nevada
- Data Source
  KAKENHI-PLANNED-23120004
[Presentation] Parametric task learning.2013
- Author(s)
  Takeuchi, I., Hongo, T., Sugiyama, M., & Nakajima, S.
- Organizer
  Neural Information Processing Systems (NIPS2013)
- Place of Presentation
  Lake Tahoe, Nevada
- Data Source
  KAKENHI-PLANNED-23120004
[Presentation] Clustering unclustered data: Unsupervised binary labeling of two datasets having different class balances.2013
- Author(s)
  du Plessis, M. C., Niu, G., & Sugiyama, M.
- Organizer
  Conference on Technologies and Applications of Artificial Intelligence (TAAI2013),
- Place of Presentation
  Taipei, Taiwan
- Data Source
  KAKENHI-PROJECT-25700022
[Presentation] Squared-loss mutual information regularization.2013
- Author(s)
  Niu, G., Jitkrittum, W., Dai, B., Hachiya, H., & Sugiyama, M.
- Organizer
  30th International Conference on Machine Learning (ICML2013)
- Place of Presentation
  Atlanta, Georgia, USA
- Data Source
  KAKENHI-PROJECT-25700022
[Presentation] Feature selection via l1-penalized squared-loss mutual information2012
- Author(s)
  Jitkrittum, W., Hachiya, H., & Sugiyama, M.
- Organizer
  電子情報通信学会IBISML研究会, pp.139-146
- Place of Presentation
  東京
- Data Source
  KAKENHI-PLANNED-23120004
[Presentation] Artist agent: A reinforcement learning approach to automatic stroke generation in oriental ink painting.2012
- Author(s)
  Xie, N., Hachiya, H., & Sugiyama, M.
- Organizer
  29th International Conference on Machine Learning (ICML2012),
- Place of Presentation
  Edinburgh, Scotland
- Data Source
  KAKENHI-PLANNED-23120004
[Presentation] Fast learning rate of multiple kernel learning: Trade-off between sparsity and smoothness.2012
- Author(s)
  Suzuki, T. & Sugiyama, M.
- Organizer
  Fifteenth International Conference on Artificial Intelligence and Statistics (AISTATS2012),
- Place of Presentation
  La Palma, Canary Islands
- Data Source
  KAKENHI-PLANNED-23120004
[Presentation] Sparse additive matrix factorization for robust PCA and its generalization.2012
- Author(s)
  Nakajima, S., Sugiyama, M., & Babacan, D.
- Organizer
  the Fourth Asian Conference on Machine Learning (ACML2012),
- Place of Presentation
  Singapore
- Data Source
  KAKENHI-PLANNED-23120004
[Presentation] Perfect dimensionality recovery by variational Bayesian PCA.2012
- Author(s)
  Nakajima, S., Tomioka, R., Sugiyama, M., & Babacan, D.
- Organizer
  Neural Information Processing Systems (NIPS2012),
- Place of Presentation
  Lake Tahoe, Nevada, USA
- Data Source
  KAKENHI-PLANNED-23120004
[Presentation] Perceived age estimation under lighting condition change by covariate shift adaptation.2010
- Author(s)
  Ueki, K., Sugiyama, M., Ihara, Y.
- Organizer
  20th International Conference on Pattern Recognition(ICPR2010)
- Place of Presentation
  イスタンブール,トルコ
- Data Source
  KAKENHI-PROJECT-20680007
[Presentation] Perceived age estimation under lighting condition change by covariate shift adaptation2010
- Author(s)
  Ueki, K., Sugiyama, M., & Ihara, Y.
- Organizer
  In Proceedings of 20th International Conference on Pattern Recognition(ICPR2010)
- Place of Presentation
  Istanbul, Turkey
- Data Source
  KAKENHI-PROJECT-20680007
[Presentation] Perceived age estimation under lighting condition change by covariate shift adaptation.2010
- Author(s)
  Ueki, K., Sugiyama, M., Ihara, Y.
- Organizer
  20th International Conferenceon Pattern Recognition (ICPR2010)
- URL
  http://sugiyama-www.cs.titech.ac.jp/~sugi/2010/ICPR2010a.pdf
- Place of Presentation
  Istanbul, Turkey
- Data Source
  KAKENHI-PROJECT-20680007
[Presentation] Automatic audio tagging using covariate shift adaptation2010
- Author(s)
  Wichern, G., Yamada, M., Thornburg, H., Sugiyama, M., & Spanias, A.
- Organizer
  In Proceedings of IEEE International Conference on Acoustics, Speech, and Signal Processing(ICASSP2010)
- Place of Presentation
  Dallas, Texas, USA
- Data Source
  KAKENHI-PROJECT-20680007
[Presentation] Active policy iteration: Efficient exploration through active learning for value function approximation in reinforcement learning.2009
- Author(s)
  Akiyama, T., Hachiya, H., Sugiyama, M.
- Organizer
  Twenty-FirstInternational Joint Conference onArtificial Intelligence (IJCAI2009)
- URL
  http://sugiyama-www.cs.titech.ac.jp/~sugi/2009/IJCAI2009.pdf
- Place of Presentation
  Pasadena, California
- Data Source
  KAKENHI-PROJECT-20680007
[Presentation] Active policy iteration : Efficient exploration through active learning for value function approximation in reinforcement learning2009
- Author(s)
  Akiyama, T., Hachiya, H., & Sugiyama, M
- Organizer
  In Proceedings of the Twenty-First International Joint Conference on Artificial Intelligence(IJCAI2009)
- Place of Presentation
  Pasadena, California, USA
- Data Source
  KAKENHI-PROJECT-20680007
[Presentation] Efficient sample reuse in EM-based policy search2009
- Author(s)
  Hachiya, H., Peters, J., & Sugiyama, M.
- Organizer
  Presented at the European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases(ECML-PKDD2009)
- Place of Presentation
  Berlin, Springer, Bled, Slovenia
- Data Source
  KAKENHI-PROJECT-20680007
[Presentation] Efficient sample reuse in EM-based policy search.2009
- Author(s)
  Hachiya, H., Peters, J., Sugiyama, M.
- Organizer
  European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases(ECML-PKDD2009)
- URL
  http://sugiyama-www.cs.titech.ac.jp/~sugi/2009/ECML-PKDD2009.pdf
- Place of Presentation
  Bled, Slovenia
- Data Source
  KAKENHI-PROJECT-20680007
[Presentation] A framework of adaptive brain computer interfaces2009
- Author(s)
  Li, Y., Koike, Y., & Sugiyama, M.
- Organizer
  In Proceedings of the 2nd International Conference on BioMedical Engineering and Informatics(BMEI09)
- Place of Presentation
  Tianjin, China
- Data Source
  KAKENHI-PROJECT-20680007
[Presentation] Covariate shift adaptation for semi-supervised speaker identification2009
- Author(s)
  Yamada, M., Sugiyama, M., & Matsui, T.
- Organizer
  In Proceedings of IEEE International Conference on Acoustics, Speech, and Signal Processing(ICASSP2009)
- Place of Presentation
  Taipei, Taiwan
- Data Source
  KAKENHI-PROJECT-20680007
[Presentation] Active policy iteration : Efficient exploration through active learning for value function approximation in reinforcement learning2009
- Author(s)
  Akiyama, T., Hachiya, H., Sugiyama, M.
- Organizer
  Twenty-First International Joint Conference on Artificial Intelligence(IJCAI2009)
- Place of Presentation
  Pasadena, USA
- Data Source
  KAKENHI-PROJECT-20680007
[Presentation] Direct importance estimation---A new versatile tool for statisti cal pattern recognition2008
- Author(s)
  Sugiyama, M., Kanamori, T, Suzuki, T., Hido, S., Sese, J., Takeuchi, I., & Wang, L
- Organizer
  Meeting on Image Recognition and Understanding 2008 (MIRU2008)
- Place of Presentation
  長野
- Data Source
  KAKENHI-PROJECT-20680007
[Presentation] Semi-supervised speaker identification under covariate shift2008
- Author(s)
  Yamada, M. & Sugiyama, M
- Organizer
  The Third International Workshop on Data-Mining and Statistical Science (DMSS2008)
- Place of Presentation
  東京
- Data Source
  KAKENHI-PROJECT-20680007
[Presentation] Active learning with model selection in linear regression2008
- Author(s)
  Sugiyama, M. & Rubens, N
- Organizer
  Proceedings of the Eighth SIAM International Conference on Data Mining(SDM2008)
- Place of Presentation
  Atlanta, Georgia, USA
- Data Source
  KAKENHI-PROJECT-20680007
[Presentation] Pool-based agnostic experiment design in linear regression2008
- Author(s)
  Sugiyama, M. & Nakajima, S
- Organizer
  Presented at the European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases(ECML-PKDD2008)
- Place of Presentation
  Berlin, Springer, Antwerp, Belgium
- Data Source
  KAKENHI-PROJECT-20680007
[Presentation] Efficient direct density ratio estimation for non-stationarity adaptation and outlier detection2008
- Author(s)
  Kanamori, T., Hido, S., & Sugiyama, M.
- Organizer
  In D. Koller, D. Schuurmans, Y. Bengio, and L. Botton(Eds.), Advances in Neural Information Processing Systems 21,(Presented at Neural Information Processing Systems(NIPS2008), Vancouver, British Columbia
- Place of Presentation
  Cambridge, MA, MIT Press, Canada, Dec
- Year and Date
  2008-08-13
- Data Source
  KAKENHI-PROJECT-20680007
[Presentation] Direct density ratio estimation for large-scale covariate shift adaptation2008
- Author(s)
  Tsuboi, Y., Kashima, H., Hido, S., Bickel, S., & Sugiyama, M.
- Organizer
  Proceedings of the Eighth SIAM International Conference on Data Mining(SDM2008)
- Place of Presentation
  Atlanta, Georgia, USA
- Data Source
  KAKENHI-PROJECT-20680007
[Presentation] Adaptive importance sampling with automatic model selection in value function approximation2008
- Author(s)
  Hachiya, H., Akiyama, T., Sugiyama, M., & Peters, J
- Organizer
  Proceedings of the Twenty-Third AAAI Conference on Artificial Intelligence(AAAI2008)
- Place of Presentation
  Chicago, Illinois, USA
- Data Source
  KAKENHI-PROJECT-20680007
[Presentation] Efficient direct density ratio estimation for non-stationarity adaptation and outlier detection2008
- Author(s)
  Kanamori, T., Hido, S., Sugiyama, M.
- Organizer
  Neural Information Processing Systems (NIPS2008)
- URL
  http://sugiyama-www.cs.titech.ac.jp/~sugi/2008/NIPS2008.pdf
- Place of Presentation
  Vancouver, Canada
- Data Source
  KAKENHI-PROJECT-20680007
[Presentation] Supervised learning under covariate shift.2007
- Author(s)
  Sugiyama, M.
- Organizer
  13th Symposium on Sensing via Image Information,
- Place of Presentation
  横浜,日本
- Data Source
  KAKENHI-PROJECT-17700142
[Presentation] KuUback-Leibler importance estimation procedure for covariate shift adaptation.2007
- Author(s)
  Sugiyama, M., Nakajima, S., Kashima, H., von Bunau, P.& Kawanabe, M
- Organizer
  the International Workshop on Data-Mining and Statistical Sciences
- Place of Presentation
  東京,日本
- Data Source
  KAKENHI-PROJECT-17700142
[Presentation] Asymptotic Bayesian generalization error when training and test distributions are different.2007
- Author(s)
  Yamazaki, K., Kawanabe, M., Watanabe, S. Sugiyama, M, & Muller, K.-R.
- Organizer
  24th International Conference on Machine Learning
- Place of Presentation
  オレゴン,アメリカ
- Data Source
  KAKENHI-PROJECT-17700142
[Presentation] Direct importance estimation with model selection and its application to covariate shift adaptation2007
- Author(s)
  M. Sugiyama, S. Nakajima, H. Kashima, von P. Bnueau, M. Kawanabe
- Organizer
  21th Annual Conference on Neural Information Processing Systems
- Place of Presentation
  Vancouver, Canada
- Year and Date
  2007-12-04
- Data Source
  KAKENHI-PROJECT-18300057
[Presentation] Direct importance estimation with model selection and its application to covariate shift adaptation.2007
- Author(s)
  Sugiyama, M., Nakajima, S., Kashim a, H., von Bunau, P. & Kawanabe, M.
- Organizer
  Advances in Neural Information Processing Systems
- Place of Presentation
  バンクーバー,カナダ
- Data Source
  KAKENHI-PROJECT-17700142
[Presentation] Value function approximation on non-linear manifolds for robot motor control2007
- Author(s)
  M. Sugiyama, H. Hachiya, C. Towell, S. Vijayakumar
- Organizer
  2007 IEEE International Conference on Robotics and Automation
- Place of Presentation
  Rome, Italy
- Year and Date
  2007-04-12
- Data Source
  KAKENHI-PROJECT-18300057
[Presentation] Analysis of variational Bayesian latent Dirichlet allocation: Weaker sparsity than MAP.
- Author(s)
  Nakajima, S., Sato, I., Sugiyama, M., Watanabe, K., & Kobayashi, H.
- Organizer
  Neural Information Processing Systems (NIPS2014)
- Place of Presentation
  Montreal, Quebec, Canada
- Year and Date
  2014-12-08 – 2014-12-11
- Data Source
  KAKENHI-PLANNED-23120004
[Presentation] Analysis of learning from positive and unlabeled data.
- Author(s)
  du Plessis, M. C., Niu, G., & Sugiyama, M.
- Organizer
  Neural Information Processing Systems (NIPS2014)
- Place of Presentation
  Montreal, Quebec, Canada
- Year and Date
  2014-12-08 – 2014-12-11
- Data Source
  KAKENHI-PLANNED-23120004
[Presentation] Importance-weighted covariance estimation for robust common spatial pattern.
- Author(s)
  Balzi, A., Yger, F., & Sugiyama, M.
- Organizer
  Workshop on Information-Based Induction Sciences (IBIS2014)
- Place of Presentation
  Nagoya, Japan
- Year and Date
  2014-11-16 – 2014-11-19
- Data Source
  KAKENHI-PROJECT-14F04730
[Presentation] Bias reduction and metric learning for nearest-neighbor estimation of Kullback-Leibler divergence.
- Author(s)
  Noh, Y.-K., Sugiyama, M., Liu, S., du Plessis, M. C., Park, F. C., & Lee, D. D.
- Organizer
  International Conference on Artificial Intelligence and Statistics (AISTATS2014)
- Place of Presentation
  Reykjavik, Iceland
- Year and Date
  2014-04-22 – 2014-04-24
- Data Source
  KAKENHI-PROJECT-25700022
[Presentation] Efficient reuse of previous experiences in humanoid motor learning.
- Author(s)
  Sugimoto, N., Tangkaratt, V., Wensveen, T., Zhao, T., Sugiyama, M., & Morimoto, J.
- Organizer
  IEEE-RAS International Conference on Humanoid Robots (HUMANOIDS2014)
- Place of Presentation
  Madrid, Spain
- Year and Date
  2014-11-18 – 2014-11-20
- Data Source
  KAKENHI-PLANNED-23120004
[Presentation] Transductive learning with multi-class volume approximation.
- Author(s)
  Niu, G., Dai, B., du Plessis, M. C., & Sugiyama, M.
- Organizer
  International Conference on Machine Learning (ICML2014)
- Place of Presentation
  Beijing, China,
- Year and Date
  2014-06-21 – 2014-06-26
- Data Source
  KAKENHI-PROJECT-25700022
[Presentation] Intrinsic principal component analysis for symmetric positive definite matrices.
- Author(s)
  Horev, I, Yger, F., & Sugiyama, M.
- Organizer
  Workshop on Information-Based Induction Sciences (IBIS2014)
- Place of Presentation
  Nagoya, Japan
- Year and Date
  2014-11-16 – 2014-11-19
- Data Source
  KAKENHI-PROJECT-14F04730
[Presentation] An online policy gradient algorithm for continuous state and action Markov decision processes.
- Author(s)
  Ma, Y., Zhao, T., Hatano, K., & Sugiyama, M.
- Organizer
  European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML-PKDD2014)
- Place of Presentation
  Nancy, France
- Year and Date
  2014-09-15 – 2014-09-19
- Data Source
  KAKENHI-PLANNED-23120004
[Presentation] Bias reduction and metric learning for nearest-neighbor estimation of Kullback-Leibler divergence.
- Author(s)
  Noh, Y.-K., Sugiyama, M., Liu, S., du Plessis, M. C., Park, F. C., & Lee, D. D.
- Organizer
  International Conference on Artificial Intelligence and Statistics (AISTATS2014)
- Place of Presentation
  Reykjavik, Iceland
- Year and Date
  2014-04-22 – 2014-04-24
- Data Source
  KAKENHI-PLANNED-23120004
[Presentation] Clustering via mode seeking by direct estimation of the gradient of a log-density.
- Author(s)
  Sasaki, H., Hyvarinen, A., & Sugiyama, M.
- Organizer
  European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML-PKDD2014)
- Place of Presentation
  Nancy, France
- Year and Date
  2014-09-15 – 2014-09-19
- Data Source
  KAKENHI-PLANNED-23120004
[Presentation] Transductive learning with multi-class volume approximation.
- Author(s)
  Niu, G., Dai, B., du Plessis, M. C., & Sugiyama, M.
- Organizer
  International Conference on Machine Learning (ICML2014)
- Place of Presentation
  Beijing, China
- Year and Date
  2014-06-21 – 2014-06-26
- Data Source
  KAKENHI-PLANNED-23120004
[Presentation] Analysis of empirical MAP and empirical partially Bayes: Can they be alternatives to variational Bayes?
- Author(s)
  Nakajima, S. & Sugiyama, M.
- Organizer
  International Conference on Artificial Intelligence and Statistics (AISTATS2014)
- Place of Presentation
  Reykjavik, Iceland
- Year and Date
  2014-04-22 – 2014-04-24
- Data Source
  KAKENHI-PLANNED-23120004
[Presentation] Clustering via mode seeking by direct estimation of the gradient of a log-density.
- Author(s)
  Sasaki, H., Hyvarinen, A., & Sugiyama, M.
- Organizer
  European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML-PKDD2014)
- Place of Presentation
  Nancy, France
- Year and Date
  2014-09-15 – 2014-09-19
- Data Source
  KAKENHI-PROJECT-25700022

1. YAMASHITA Yukihiko (90220350)

# of Collaborated Projects: 5 results

# of Collaborated Products: 0 results
2. TANAKA Toshihisa (70360584)

# of Collaborated Projects: 5 results

# of Collaborated Products: 0 results
3. WASHIZAWA Yoshikazu (10419880)

# of Collaborated Projects: 5 results

# of Collaborated Products: 0 results
4. OGAWA Hidemitsu (50016630)

# of Collaborated Projects: 2 results

# of Collaborated Products: 2 results
5. KUMAZAWA Itsuo (70186469)

# of Collaborated Projects: 2 results

# of Collaborated Products: 0 results
6. MORIMOTO Jun (10505986)

# of Collaborated Projects: 1 results

# of Collaborated Products: 4 results
7. HIRABAYASHI Akira (50272688)

# of Collaborated Projects: 1 results

# of Collaborated Products: 0 results
8. Doya Kenji (80188846)

# of Collaborated Projects: 1 results

# of Collaborated Products: 0 results
9. SAKAGAMI Masamichi (10225782)

# of Collaborated Projects: 1 results

# of Collaborated Products: 0 results
10. OKAMOTO Hitoshi (40183769)

# of Collaborated Projects: 1 results

# of Collaborated Products: 0 results
11. SHIBATA Tomohiro (40359873)

# of Collaborated Projects: 1 results

# of Collaborated Products: 0 results
12. OKADA Mitsuhiro (30224025)

# of Collaborated Projects: 1 results

# of Collaborated Products: 0 results
13. HIKIDA Takatoshi (70421378)

# of Collaborated Projects: 1 results

# of Collaborated Products: 0 results
14. KIMURA Minoru (40118451)

# of Collaborated Projects: 1 results

# of Collaborated Products: 0 results
15. IMAI Mutsumi (60255601)

# of Collaborated Projects: 1 results

# of Collaborated Products: 0 results
16. TAKAHASHI Hidehiko (60415429)

# of Collaborated Projects: 1 results

# of Collaborated Products: 0 results
17. YGER Florian

# of Collaborated Projects: 1 results

# of Collaborated Products: 2 results

Sugiyama Masashi 杉山 将

SUGIYAMA Masashi 杉山 将

Research Projects

Research Products

Co-Researchers

Principal Investigator

Project Period (FY)

Research Category

Review Section

Research Institution

Theory and Application of Statistical Reinforcement LearningPrincipal Investigator

Principal Investigator

Project Period (FY)

Research Category

Research Field

Research Institution

Principal Investigator

Project Period (FY)

Research Category

Research Field

Research Institution

Principal Investigator

Project Period (FY)

Research Category

Research Field

Research Institution

時間的な変化を伴うデータに対する機械学習手法に関する研究Principal Investigator

Principal Investigator

Project Period (FY)

Research Category

Research Field

Research Institution

Theory and Application of Information-Based Machine LearningPrincipal Investigator

Principal Investigator

Project Period (FY)

Research Category

Research Field

Research Institution

Development of Machine Learning Theory for Prediction and Decision Making and Its Realization in Neural NetworksPrincipal Investigator

Principal Investigator

Project Period (FY)

Research Category

Review Section

Research Institution

Principal Investigator

Project Period (FY)

Research Category

Research Field

Research Institution

Principal Investigator

Project Period (FY)

Research Category

Review Section

Research Institution

Machine Learning under Changing EnvironmentsPrincipal Investigator

Principal Investigator

Project Period (FY)

Research Category

Research Field

Research Institution

Principal Investigator

Project Period (FY)

Research Category

Research Field

Research Institution

入力点に依存した汎化能力推定法に関する研究Principal Investigator

Principal Investigator

Project Period (FY)

Research Category

Research Field

Research Institution

教師付き学習におけるモデル選択に関する研究Principal Investigator

Principal Investigator

Project Period (FY)

Research Category

Research Field

Research Institution

Principal Investigator

Project Period (FY)

Research Category

Sugiyama Masashi 杉山将

SUGIYAMA Masashi 杉山将