Sugiyama Masashi 杉山将

… Alternative Names

SUGIYAMA Masashi 杉山将

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Researcher Number	90334515
Other IDs	https://orcid.org/0000-0001-6658-6743
External Links
Affiliation (Current)	2024: 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 2024: 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

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Theory and Application of Statistical Reinforcement LearningPrincipal Investigator

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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

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Theory and Application of Information-Based Machine LearningPrincipal Investigator

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

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Machine Learning under Changing EnvironmentsPrincipal Investigator

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

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

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Sugiyama Masashi 杉山将

SUGIYAMA Masashi 杉山将