KANAMORI Takafumi 金森敬文

Researcher Number	60334546
Other IDs
External Links
Affiliation (Current)	2025: 東京科学大学, 情報理工学院, 教授
Affiliation (based on the past Project Information) *help	2017 – 2024: 東京工業大学, 情報理工学院, 教授 2016 – 2017: 名古屋大学, 情報学研究科, 教授 2015 – 2016: 名古屋大学, 情報科学研究科, 教授 2015: 名古屋大学, 大学院情報科学研究科, 准教授 2007 – 2015: Nagoya University, 情報科学研究科, 准教授 … More 2008 – 2009: 名古屋大学, 大学院・情報科学研究科, 准教授 2006: 東京工業大学, 大学院情報理工学研究科, 助手 2002 – 2005: 東京工業大学, 大学院・情報理工学研究科, 助手 2003: Tokyo Institute of Technology, Graduate School of Information Science and Engineering, Assistant Professor, 大学院・数理・計算科学専攻, 助手 2002 – 2003: 東京工業大学, 数理・計算科学専攻, 助手 Less
Review Section/Research Field	Principal Investigator Statistical science / Basic Section 60030:Statistical science-related / Statistical science / Statistical science Except Principal Investigator Statistical science / General mathematics (including Probability theory/Statistical mathematics) / Sections That Are Subject to Joint Review: Basic Section60030:Statistical science-related , Basic Section61030:Intelligent informatics-related / Basic Section 60030:Statistical science-related / Basic Section 61030:Intelligent informatics-related / Medium-sized Section 60:Information science, computer engineering, and related fields … More / Soft computing / Foundations of mathematics/Applied mathematics / Statistical science / General mathematics (including Probability theory/Statistical mathematics) / Statistical science Less
Keywords	Principal Investigator 機械学習 / 数理統計学 / 最適化 / ロバスト統計 / 統計的学習理論 / アンサンブル学習 / 統計科学 / 情報転送 / 転移学習 / 多ドメインデータ … More / 最適輸送 / 機械学修 / 数理統計 / データサイエンス / AI / ロバスト / 変数選択 / 統計学 / 統計数学 / 数理工学 / 条件付密度関数推定 / 分位点回帰関数 / パラメトリック最適化 / バリューアットリスク / 不確実性 / ロバスト推定 / ロバスト化 / 回帰分析 / 不均一分散 / 多値判別 / 判別分析 / ブースティング … More Except Principal Investigator 機械学習 / 組合せデザイン / グループテスト / 高次元データ / マイクロアレイ / SNP / ブースティング / 関数データ解析 / プロテオーム / 独立成分分析 / リサンプリング / ブートストラップ / 符号 / 球面デザイン / 光直交符号 / conflict-avoiding code / Steiner quadruple system / ベイジアンネットワーク / 確率伝搬法 / ロバスト推定 / 統計的データ解析 / 多様体 / 確率密度関数 / 位相的データ解析 / 幾何学的データ / 高次元小標本 / 深層学習 / 高次元統計解析 / 時空間データ / ランダム行列 / 期待値伝搬法 / レプリカ方 / 交差検証方 / stability selection / 平均場近似 / レプリカ法 / ブートストラップ法 / 交差検証法 / 線形符号 / 最小距離の大きい符号 / 軌道の分解可能性 / 巡回準直交配列 / 巡回最適準直交計画 / 組合せ符号 / fMRI / almost orthogonal array / 巡回直交配列 / locating array / ゲノム / 統計数学 / データサイエンス / proteome / protein expression / gene expression / Boosting / statistical inference / machine learning / バイアスモデル / バイオインフォマティクス / 一塩基多型 / 多重比較 / 自己組織化主成分 / メタアナライシス / パタン認識 / ゲノムデータ / タンパク発現 / 遺伝子発現 / 統計推論 / learning theory / phase transition / Cayley tree / credit-rating / MAPP estimator / linkage analysis / LBP algorithm / Bayesian network / 多座位遺伝子データ / 家系図 / アルゴリズム / 遺伝連鎖解析 / ゲノム解析 / マーカー遺伝子 / Loopy Belief Propagation / バウンダリ確率則 / 相転移 / マルコフ確率場 / Unwrappedネットワーク / Belief Propagation / 学習理論 / Rシステム / ケイリーツリー / 企業格付け問題 / MAPP推定 / 確率ネットワーク / ルーピービリーフプロパゲーション・アルゴリズム / functional data analysis / Proteome / self-organizing PCA / independent component analysis / AdaBoost / gene expression data / SNP haplotyping / bioinformatics / 独立成分解析 / モデル特異性 / 統計推測 / ニューラルネット / ロバスト / SNPデータ / 統計推理 / DNAマイクロアレイ / 統計学 / 自己組織化主成分分析 / アダブースト / 遺伝子発現データ / SNPハプロタイピング / バイオインフォマチックス / 分子系統学 / マルチスケール / ベイズ統計 / ブートストラップ・リサンプリング / GPGPU / 統計的推測 / ダイバージェンス / 因果推論 / クロスバリデーション / 多変量解析 / 高次漸近理論 / 情報幾何 / モデル選択 / 仮説検定 / スケーリング則 / 最適計画 / 情報通信工学 / 量子符号 / 離散数学 / アフィン幾何 / CAC / t-MOD / 量子ジャンプ符号 / 衝突回避符号 / Fingerprint code / ベイジアンネットワー / 遺伝子情報解析 / LDPC符号 / LDPC / CCCP / BP / positive detecting algorithm / pooling experiment Less

構造化されたデータ表現の獲得と多様な機械学習タスクへの適用に関する統計理論Principal Investigator
- Principal Investigator
  
  金森敬文
- Project Period (FY)
  2024 – 2026
- Research Category
  
  Grant-in-Aid for Scientific Research (C)
- Review Section
  
  Basic Section 60030:Statistical science-related
- Research Institution
  Tokyo Institute of Technology
幾何学的データ解析手法の開発と位相的データ解析への展開
- Principal Investigator
  
  佐々木博昭
- Project Period (FY)
  2023 – 2027
- Research Category
  
  Grant-in-Aid for Scientific Research (B)
- Review Section
  
  Basic Section 61030:Intelligent informatics-related
  Basic Section 60030:Statistical science-related
  Sections That Are Subject to Joint Review: Basic Section60030:Statistical science-related , Basic Section61030:Intelligent informatics-related
- Research Institution
  Meiji Gakuin University
  Future University-Hakodate
Innovative Developments of Theories and Methodologies for Large Complex Data
- Principal Investigator
  
  青嶋誠
- Project Period (FY)
  2020 – 2024
- Research Category
  
  Grant-in-Aid for Scientific Research (A)
- Review Section
  
  Medium-sized Section 60:Information science, computer engineering, and related fields
- Research Institution
  University of Tsukuba
Statistical Learning with feature extraction and information integration of High-dimensional, large-scale, multi-domain dataPrincipal Investigator
- Principal Investigator
  
  Kanamori Takafumi
- Project Period (FY)
  2019 – 2023
- Research Category
  
  Grant-in-Aid for Scientific Research (B)
- Review Section
  
  Basic Section 60030:Statistical science-related
- Research Institution
  Tokyo Institute of Technology
Development and systemization of semi-analytic resampling method: Reliability evaluation by statistical mechanics
- Principal Investigator
  
  Kabashima Yoshiyuki
- Project Period (FY)
  2017 – 2021
- Research Category
  
  Grant-in-Aid for Scientific Research (A)
- Research Field
  
  Soft computing
- Research Institution
  The University of Tokyo
  Tokyo Institute of Technology
Mathematics and Practical Algorithms for machine Learning methods with non-convex lossesPrincipal Investigator
- Principal Investigator
  
  Kanamori Takafumi
- Project Period (FY)
  2016 – 2019
- Research Category
  
  Grant-in-Aid for Scientific Research (C)
- Research Field
  
  Statistical science
- Research Institution
  Tokyo Institute of Technology
  Nagoya University
Theories and Methodologies for Large Complex Data
- Principal Investigator
  
  AOSHIMA Makoto
- Project Period (FY)
  2015 – 2019
- Research Category
  
  Grant-in-Aid for Scientific Research (A)
- Research Field
  
  Statistical science
- Research Institution
  University of Tsukuba
Combinatorial designs and their optimalitiy related to Codes, spherical designs and grouptesting
- Principal Investigator
  
  Jimbo Masakazu
- Project Period (FY)
  2015 – 2019
- Research Category
  
  Grant-in-Aid for Scientific Research (B)
- Research Field
  
  Foundations of mathematics/Applied mathematics
- Research Institution
  Chubu University
Computing confidence levels of many hypotheses for high-dimensional data
- Principal Investigator
  
  Shimodaira Hidetoshi
- Project Period (FY)
  2012 – 2015
- Research Category
  
  Grant-in-Aid for Scientific Research (B)
- Research Field
  
  Statistical science
- Research Institution
  Osaka University
Theory and Applications of Density RatioPrincipal Investigator
- Principal Investigator
  
  Kanamori Takafumi
- Project Period (FY)
  2012 – 2015
- Research Category
  
  Grant-in-Aid for Scientific Research (C)
- Research Field
  
  Statistical science
- Research Institution
  Nagoya University
Combinatorial codes and their decoding algorithms related to various information transmission systems
- Principal Investigator
  
  JIMBO Masakazu
- Project Period (FY)
  2010 – 2014
- Research Category
  
  Grant-in-Aid for Scientific Research (B)
- Research Field
  
  General mathematics (including Probability theory/Statistical mathematics)
- Research Institution
  Nagoya University
transversal study of machine learning and optimizationPrincipal Investigator
- Principal Investigator
  
  KANAMORI Takafumi
- Project Period (FY)
  2008 – 2011
- Research Category
  
  Grant-in-Aid for Young Scientists (B)
- Research Field
  
  Statistical science
- Research Institution
  Nagoya University
Combinatorial structures and algorithms commonly included in codes and pooling designs for genetic experiments
- Principal Investigator
  
  JIMBO Masakazu
- Project Period (FY)
  2006 – 2009
- Research Category
  
  Grant-in-Aid for Scientific Research (B)
- Research Field
  
  General mathematics (including Probability theory/Statistical mathematics)
- Research Institution
  Nagoya University
アンサンブル学習のアルゴリズム開発と理論的解析Principal Investigator
- Principal Investigator
  
  金森敬文
- Project Period (FY)
  2005 – 2007
- Research Category
  
  Grant-in-Aid for Young Scientists (B)
- Research Field
  
  Statistical science
- Research Institution
  Nagoya University
  Tokyo Institute of Technology
New statistical methodology for genome diversity analysis
- Principal Investigator
  
  EGUCHI Shinto
- Project Period (FY)
  2004 – 2007
- Research Category
  
  Grant-in-Aid for Scientific Research (B)
- Research Field
  
  Statistical science
- Research Institution
  The Institute of Statistical Mathematics
ブースティング手法による統計的推論に関する理論的研究とその計算機による実装Principal Investigator
- Principal Investigator
  
  金森敬文
- Project Period (FY)
  2002 – 2004
- Research Category
  
  Grant-in-Aid for Young Scientists (B)
- Research Field
  
  Statistical science
- Research Institution
  Tokyo Institute of Technology
Mathematical Genetics in Post Genome Era
- Principal Investigator
  
  MASE Shigeru
- Project Period (FY)
  2002 – 2004
- Research Category
  
  Grant-in-Aid for Scientific Research (C)
- Research Field
  
  General mathematics (including Probability theory/Statistical mathematics)
- Research Institution
  TOKYO INSTITUTE OF TECHNOLOGY
Fusion of Statistics, Neural-Net, Machine Learning
- Principal Investigator
  
  EGUCHI Shinto
- Project Period (FY)
  2001 – 2003
- Research Category
  
  Grant-in-Aid for Scientific Research (B)
- Research Field
  
  Statistical science
- Research Institution
  The Institute of Statistical Mathematics

[Book] データサイエンスと機械学習2022
- Author(s)
  D.P.Kroese ほか著，金森敬文監訳
- Total Pages
  416
- Publisher
  東京化学同人
- ISBN
  9784807920297
- Data Source
  KAKENHI-PROJECT-19H04071
[Book] Pythonで学ぶ統計的機械学習2018
- Author(s)
  金森敬文
- Total Pages
  264
- Publisher
  オーム社
- ISBN
  9784274223051
- Data Source
  KAKENHI-PROJECT-15H03636
[Book] Pythonで学ぶ統計的機械学習2018
- Author(s)
  金森敬文
- Total Pages
  252
- Publisher
  オーム社
- ISBN
  9784274223051
- Data Source
  KAKENHI-PROJECT-16K00044
[Book] Rによる機械学習入門2017
- Author(s)
  金森　敬文
- Total Pages
  260
- Publisher
  オーム社
- ISBN
  9784274221125
- Data Source
  KAKENHI-PROJECT-16K00044
[Book] モデリングの諸相2016
- Author(s)
  室田一雄, 池上敦子, 土谷隆, 山下浩, 蒲地政文, 畔上秀幸, 斉藤努, 枇々木規雄, 滝根哲哉, 金森敬文
- Total Pages
  35
- Publisher
  近代科学社
- Data Source
  KAKENHI-PROJECT-16K00044
[Book] 機械学習のための連続最適化2016
- Author(s)
  金森敬文, 鈴木大慈, 竹内一郎, 佐藤一誠
- Total Pages
  352
- Publisher
  講談社
- Data Source
  KAKENHI-PROJECT-15H01678
[Book] 機械学習のための連続最適化2016
- Author(s)
  金森敬文, 鈴木大慈, 竹内一郎, 佐藤一誠
- Total Pages
  213
- Publisher
  講談社
- Data Source
  KAKENHI-PROJECT-16K00044
[Book] 統計的学習理論2015
- Author(s)
  金森敬文
- Total Pages
  189
- Publisher
  講談社
- Data Source
  KAKENHI-PROJECT-24500340
[Book] Density Ratio Estimation in Machine Learning2012
- Author(s)
  Masashi Sugiyama, Taiji Suzuki, Takafumi Kanamori
- Publisher
  Cambridge University Press
- Data Source
  KAKENHI-PROJECT-20700251
[Book] Density Ratio Estimation in Machine Learning2012
- Author(s)
  M. Sugiyama, T. Suzuki, T. Kanamori
- Publisher
  Cambridge University Press
- Data Source
  KAKENHI-PROJECT-20700251
[Book] パターン認識(Rで学ぶデータサイエンス5)2009
- Author(s)
  金森敬文, 竹之内高志, 村田昇
- Total Pages
  274
- Publisher
  共立出版
- Data Source
  KAKENHI-PROJECT-20700251
[Book] パターン認識(Rで学ぶデータサイエンス5)2009
- Author(s)
  金森敬文,竹之内高志,村田昇
- Publisher
  共立出版
- Data Source
  KAKENHI-PROJECT-20700251
[Book] Chapter contribution(Geometry of Covariate Shift with Applications to Active Learning, Dataset Shift in Machine Learning)2008
- Author(s)
  T. Kanamori, H. Shimodaira
- Publisher
  MIT Press
- Data Source
  KAKENHI-PROJECT-20700251
[Book] ブースティング学習アルゴリズムの設計技法2006
- Author(s)
  金森敬文, 畑埜晃平, 渡辺治
- Total Pages
  224
- Publisher
  森北出版
- Data Source
  KAKENHI-PROJECT-17700277
[Journal Article] Denoising Cosine Similarity: A Theory-Driven Approach for Efficient Representation Learning2024
- Author(s)
  T. Nakagawa, Y. Sanada, H. Waida, Y. Zhang, Y. Wada, K. Takanashi, T. Yamada, T. Kanamori
- Journal Title
  
  Neural Networks
  
  Volume: 169 Pages: 226-241
- DOI
  10.1016/j.neunet.2023.10.027
- Peer Reviewed
- Data Source
  KAKENHI-PROJECT-19H04071, KAKENHI-PROJECT-23K28150
[Journal Article] Deep Clustering With a Constraint for Topological Invariance Based on Symmetric InfoNCE2023
- Author(s)
  Y. Zhang, Y. Wada, H. Waida, K. Goto, Y. Hino,T. Kanamori
- Journal Title
  
  Neural Computation
  
  Volume: 35 Issue: 7 Pages: 1288-1339
- DOI
  10.1162/neco_a_01591
- Peer Reviewed
- Data Source
  KAKENHI-PROJECT-19H04071, KAKENHI-PROJECT-23K28150
[Journal Article] Learning Domain Invariant Representations by Joint Wasserstein Distance Minimization Learning Systems2023
- Author(s)
  L. Andeol, Y. Kawakami, Y. Wadad, T. Kanamori, K. R. Muller, G. Montavon,
- Journal Title
  
  Neural Networks
  
  Volume: 167 Pages: 233-243
- DOI
  10.1016/j.neunet.2023.07.028
- Peer Reviewed / Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-19H04071, KAKENHI-PROJECT-23K28150
[Journal Article] Estimating Density Models with Truncation Boundaries using Score Matching.2022
- Author(s)
  S. Liu, T. Kanamori, and D. J. Williams,
- Journal Title
  
  Journal of Machine Learning Research,
  
  Volume: 23 Pages: 1-38
- Peer Reviewed / Open Access / Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-19H04071
[Journal Article] Uncertainty propagation for dropout-based Bayesian neural networks2021
- Author(s)
  Mae Yuki、Kumagai Wataru、Kanamori Takafumi
- Journal Title
  
  Neural Networks
  
  Volume: 144 Pages: 394-406
- DOI
  10.1016/j.neunet.2021.09.005
- Peer Reviewed / Open Access
- Data Source
  KAKENHI-PROJECT-19H04071
[Journal Article] Robust modal regression with direct gradient approximation of modal regression risk2020
- Author(s)
  H. Sasaki, T Sakai, T. Kanamori
- Journal Title
  
  Proceedings of the 36th Conference on Uncertainty in Artificial Intelligence
  
  Volume: 124 Pages: 380-389
- Peer Reviewed / Open Access
- Data Source
  KAKENHI-PROJECT-20H00576
[Journal Article] A Unified Statistically Efficient Estimation Framework for Unnormalized Models2020
- Author(s)
  M. Uehara, T. Kanamori, T. Takenouchi, T. Matsuda
- Journal Title
  
  Proceedings of the Twenty Third International Conference on Artificial Intelligence and Statistics
  
  Volume: 108 Pages: 809-819
- Peer Reviewed / Open Access
- Data Source
  KAKENHI-PROJECT-20H00576
[Journal Article] Robust Label Prediction via Label Propagation and Geodesic <i>k</i>-Nearest Neighbor in Online Semi-Supervised Learning2019
- Author(s)
  WADA Yuichiro、SU Siqiang、KUMAGAI Wataru、KANAMORI Takafumi
- Journal Title
  
  IEICE Trans. Inf. & Syst.
  
  Volume: E102.D Issue: 8 Pages: 1537-1545
- DOI
  10.1587/transinf.2018EDP7424
- NAID
  130007686445
- ISSN
  0916-8532, 1745-1361
- Year and Date
  2019-08-01
- Language
  English
- Peer Reviewed / Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-17K12653, KAKENHI-PROJECT-19H04071
[Journal Article] Model Description of Similarity-Based Recommendation Systems2019
- Author(s)
  Kanamori Takafumi、Osugi Naoya
- Journal Title
  
  Entropy
  
  Volume: 21 Issue: 7 Pages: 702-702
- DOI
  10.3390/e21070702
- Peer Reviewed / Open Access
- Data Source
  KAKENHI-PROJECT-19H04071, KAKENHI-PROJECT-16K00044
[Journal Article] Numerical Study of Reciprocal Recommendation with Domain Matching2019
- Author(s)
  K. Sudo, N. Osugi, T. Kanamori
- Journal Title
  
  Japanese Journal of Statistics and Data Science
  
  Volume: 2 Issue: 1 Pages: 221-240
- DOI
  10.1007/s42081-019-00033-3
- NAID
  210000170705
- Peer Reviewed
- Data Source
  KAKENHI-PROJECT-19H04071, KAKENHI-PROJECT-16K00044
[Journal Article] Spectral Embedded Deep Clustering2019
- Author(s)
  Wada Yuichiro、Miyamoto Shugo、Nakagama Takumi、Andeol Leo、Kumagai Wataru、Kanamori Takafumi
- Journal Title
  
  Entropy
  
  Volume: 21 Issue: 8 Pages: 795-795
- DOI
  10.3390/e21080795
- Peer Reviewed / Open Access / Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-17K12653, KAKENHI-PROJECT-19H04071, KAKENHI-PROJECT-16K00044
[Journal Article] Robust Label Prediction via Label Propagation and Geodesic k-Nearest Neighbor in Online Semi-Supervised Learning.2019
- Author(s)
  Y. Wada, S. Su, W. Kumagai, T. Kanamori,
- Journal Title
  
  IEICE Transactions on Information and Systems
  
  Volume: E102-D Pages: 1537-1545
- NAID
  130007686445
- Peer Reviewed / Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-16K00044
[Journal Article] Variable Selection for Nonparametric Learning with Power Series Kernels2019
- Author(s)
  Matsui Kota、Kumagai Wataru、Kanamori Kenta、Nishikimi Mitsuaki、Kanamori Takafumi
- Journal Title
  
  Neural Computation
  
  Volume: 31 Issue: 8 Pages: 1718-1750
- DOI
  10.1162/neco_a_01212
- Peer Reviewed
- Data Source
  KAKENHI-PROJECT-17K12653, KAKENHI-PROJECT-15H01678, KAKENHI-PROJECT-19H04071, KAKENHI-PROJECT-16K00044
[Journal Article] Risk bound of transfer learning using parametric feature mapping and its application to sparse coding2019
- Author(s)
  Kumagai Wataru、Kanamori Takafumi
- Journal Title
  
  Machine Learning
  
  Volume: 108 Issue: 11 Pages: 1975-2008
- DOI
  10.1007/s10994-019-05805-2
- Peer Reviewed
- Data Source
  KAKENHI-PROJECT-17K12653, KAKENHI-PROJECT-15H01678, KAKENHI-PROJECT-19H04071, KAKENHI-PROJECT-16K00044
[Journal Article] ode-Seeking Clustering and Density Ridge Estimation via Direct Estimation of Density-Derivative-Ratios2018
- Author(s)
  H. Sasaki, T. Kanamori, A. Hyvarinen, and Masashi Sugiyama
- Journal Title
  
  Journal of Machine Learning Research
  
  Volume: 18 Pages: 1-47
- Peer Reviewed / Open Access
- Data Source
  KAKENHI-PROJECT-15H03636
[Journal Article] Mode-Seeking Clustering and Density Ridge Estimation via Direct Estimation of Density-Derivative-Ratios2018
- Author(s)
  H. Sasaki, T. Kanamori, A. Hyvarinen, and Masashi Sugiyama,
- Journal Title
  
  Journal of Machine Learning Research
  
  Volume: 18
- Peer Reviewed / Open Access / Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-16K00044
[Journal Article] Statistical Inference with Unnormalized Discrete Models and Localized Homogeneous Divergences2017
- Author(s)
  T. Takenouchi, T. Kanamori
- Journal Title
  
  Journal of Machine Learning Research
  
  Volume: 18 Pages: 1-26
- Peer Reviewed / Open Access
- Data Source
  KAKENHI-PROJECT-16K00044
[Journal Article] Breakdown point of robust support vector machines2017
- Author(s)
  Kanamori, T., Fujiwara, S., Takeda, A.
- Journal Title
  
  Entropy
  
  Volume: 19 Issue: 2 Pages: 83-83
- DOI
  10.3390/e19020083
- NAID
  110009971425
- Peer Reviewed / Open Access
- Data Source
  KAKENHI-PROJECT-15H01678, KAKENHI-PROJECT-15H03636, KAKENHI-PROJECT-15K00031, KAKENHI-PROJECT-16K00044
[Journal Article] DC Algorithm for Extended Robust Support Vector Machine2017
- Author(s)
  Fujiwara Shuhei、Takeda Akiko、Kanamori Takafumi
- Journal Title
  
  Neural Computation
  
  Volume: 29 Issue: 5 Pages: 1406-1438
- DOI
  10.1162/neco_a_00958
- Peer Reviewed
- Data Source
  KAKENHI-PROJECT-15K00031, KAKENHI-PROJECT-16K00044
[Journal Article] Statistical Inference with Unnormalized Discrete Models and LocalizedHomogeneous Divergences2017
- Author(s)
  Takenouchi, T., Kanamori, T.
- Journal Title
  
  The Journal of Machine Learning Research
  
  Volume: 18 Pages: 1-26
- Peer Reviewed / Open Access
- Data Source
  KAKENHI-PROJECT-15H01678
[Journal Article] Parallel Distributed Block Coordinate Descent Methods based on Pairwise Comparison Oracle2017
- Author(s)
  K. Matsui, W. Kumagai, T. Kanamori
- Journal Title
  
  Journal of Global Optimization
  
  Volume: 69 Issue: 1 Pages: 1-21
- DOI
  10.1007/s10898-016-0465-x
- NAID
  110009971451
- Peer Reviewed / Open Access
- Data Source
  KAKENHI-PROJECT-16K00044, KAKENHI-PROJECT-15H03636
[Journal Article] Robustness of learning algorithms using hinge loss with outlier indicators2017
- Author(s)
  Kanamori Takafumi、Fujiwara Shuhei、Takeda Akiko
- Journal Title
  
  Neural Networks
  
  Volume: 94 Pages: 173-191
- DOI
  10.1016/j.neunet.2017.07.005
- Peer Reviewed
- Data Source
  KAKENHI-PROJECT-15K00031, KAKENHI-PROJECT-16K00044
[Journal Article] Graph-based Composite Local Bregman Divergences on Discrete Sample Spaces2017
- Author(s)
  T. Kanamori, T. Takenouchi
- Journal Title
  
  Neural Networks
  
  Volume: 95 Pages: 44-56
- DOI
  10.1016/j.neunet.2017.06.005
- Peer Reviewed
- Data Source
  KAKENHI-PROJECT-16K00044, KAKENHI-PROJECT-16K00051, KAKENHI-PROJECT-15H01678, KAKENHI-PROJECT-15H03636
[Journal Article] Efficiency bound of local Z-estimators on discrete sample spaces2016
- Author(s)
  Kanamori, T.
- Journal Title
  
  Entropy
  
  Volume: 18 Issue: 7 Pages: 273-273
- DOI
  10.3390/e18070273
- Peer Reviewed / Open Access
- Data Source
  KAKENHI-PROJECT-15H01678, KAKENHI-PROJECT-15H03636, KAKENHI-PROJECT-16K00044
[Journal Article] Robust Estimation under Heavy Contamination using Unnormalized Models2015
- Author(s)
  Takafumi Kanamori, Hironori Fujisawa
- Journal Title
  
  Biometrika
  
  Volume: 102 Issue: 3 Pages: 559-572
- DOI
  10.1093/biomet/asv014
- NAID
  110009971452
- Peer Reviewed
- Data Source
  KAKENHI-PROJECT-24300106
[Journal Article] Robust Estimation under Heavy Contamination using Unnormalized Models2015
- Author(s)
  Takafumi Kanamori, Hironori Fujisawa
- Journal Title
  
  Biometrika
  
  Volume: 102 Pages: 559-572
- NAID
  110009971452
- Peer Reviewed / Acknowledgement Compliant
- Data Source
  KAKENHI-PROJECT-24500340
[Journal Article] Affine Invariant Divergences associated with Proper Composite Scoring Rules and their Applications2014
- Author(s)
  T. Kanamori and H. Fujisawa
- Journal Title
  
  Bernoulli
  
  Volume: 20 Pages: 2278-2304
- Peer Reviewed
- Data Source
  KAKENHI-PROJECT-24300106
[Journal Article] Extended Robust Support Vector Machine Based on Financial Risk Minimization2014
- Author(s)
  A. Takeda, S. Fujiwara, T. Kanamori
- Journal Title
  
  Neural Computation
  
  Volume: 26 Issue: 11 Pages: 2541-2569
- DOI
  10.1162/neco_a_00647
- Peer Reviewed / Open Access
- Data Source
  KAKENHI-PROJECT-24300106, KAKENHI-PROJECT-24500340
[Journal Article] Constrained Least-Squares Density-Difference Estimation2014
- Author(s)
  T. D. Nguyen, M. C. du Plessis, T. Kanamori, M. Sugiyama
- Journal Title
  
  IEICE Transactions on Information and Systems
  
  Volume: E97-D Pages: 1822-1829
- NAID
  130004519278
- Peer Reviewed
- Data Source
  KAKENHI-PROJECT-22340016
[Journal Article] Affine Invariant Divergences associated with Proper Composite Scoring Rules and their Applications2014
- Author(s)
  T. Kanamori and H. Fujisawa,
- Journal Title
  
  Bernoulli
  
  Volume: 20 Pages: 2278-2304
- Peer Reviewed / Open Access
- Data Source
  KAKENHI-PROJECT-24500340
[Journal Article] Statistical Analysis of Distance Estimators with Density Differences and Density Ratios2014
- Author(s)
  T. Kanamori and M. Sugiyama
- Journal Title
  
  Entropy
  
  Volume: vol. 16 (2) Pages: 921-942
- Peer Reviewed
- Data Source
  KAKENHI-PROJECT-22340016
[Journal Article] Scale-Invariant Divergences for Density Functions2014
- Author(s)
  T. Kanamori
- Journal Title
  
  Entropy
  
  Volume: 16 Pages: 2611-2628
- Peer Reviewed
- Data Source
  KAKENHI-PROJECT-22340016
[Journal Article] Statistical Analysis of Distance Estimators with Density Differences and Density Ratios2014
- Author(s)
  T. Kanamori and M. Sugiyama
- Journal Title
  
  Entropy
  
  Volume: 16 Issue: 2 Pages: 921-942
- DOI
  10.3390/e16020921
- Peer Reviewed
- Data Source
  KAKENHI-PROJECT-24500340
[Journal Article] Affine Invariant Divergences associated with Proper Composite Scoring Rules and their Applications2014
- Author(s)
  T. Kanamori, H. Fujisawa
- Journal Title
  
  Bernoulli
  
  Volume: 20 Pages: 2278-2304
- Peer Reviewed
- Data Source
  KAKENHI-PROJECT-22340016
[Journal Article] Constrained Least-Squares Density-Difference Estimation2014
- Author(s)
  T. D. Nguyen, M. C. du Plessis, T. Kanamori, M. Sugiyama
- Journal Title
  
  IEICE Transactions on Information and Systems
  
  Volume: E97-D Pages: 1822-1829
- NAID
  130004519278
- Peer Reviewed / Open Access
- Data Source
  KAKENHI-PROJECT-24500340
[Journal Article] Extended Robust Support Vector Machine Based on Financial Risk Minimization2014
- Author(s)
  A. Takeda, S. Fujiwara, T. Kanamori
- Journal Title
  
  Neural Computation
  
  Volume: 26 Pages: 2541-2569
- Peer Reviewed
- Data Source
  KAKENHI-PROJECT-22340016
[Journal Article] Statistical Analysis of Distance Estimators with Density Differences and Density Ratios2014
- Author(s)
  T. Kanamori, M. Sugiyama
- Journal Title
  
  Entropy
  
  Volume: 16 Pages: 921-942
- Peer Reviewed
- Data Source
  KAKENHI-PROJECT-22340016
[Journal Article] Numerical Study of Learning Algorithms on Stiefel Manifold2014
- Author(s)
  Takafumi Kanamori, Akiko Takeda
- Journal Title
  
  Computational Management Science
  
  Volume: 11 Issue: 4 Pages: 319-340
- DOI
  10.1007/s10287-013-0181-7
- Peer Reviewed / Open Access
- Data Source
  KAKENHI-PROJECT-23710174, KAKENHI-PROJECT-24500340
[Journal Article] A Numerical Study of Learning Algorithms on Stiefel Manifold2014
- Author(s)
  T. Kanamori, A. Takeda
- Journal Title
  
  Computational Management Science
  
  Volume: 11 Pages: 319-340
- Peer Reviewed
- Data Source
  KAKENHI-PROJECT-22340016
[Journal Article] Statistical Models and Learning Algorithms for Ordinal Regression Problems2013
- Author(s)
  T. Kanamori
- Journal Title
  
  Information Fusion
  
  Volume: vol. 14 Pages: 199-207
- Peer Reviewed
- Data Source
  KAKENHI-PROJECT-22340016
[Journal Article] Direct Divergence Approximation between Probability Distributions and its Applications in Machine Learning.2013
- Author(s)
  Sugiyama, M., Liu, S., du Plessis, M. C., Yamanaka, M., Yamad a, M., Suzuki, T., & Kanamori, T.
- Journal Title
  
  Journal of Computing Science and Engineering
  
  Volume: Vol.7no.2 Issue: 2 Pages: 99-111
- DOI
  10.5626/jcse.2013.7.2.99
- Peer Reviewed
- Data Source
  KAKENHI-PROJECT-13J03189, KAKENHI-PROJECT-24500340
[Journal Article] Direct Divergence Approximation between Probability Distributions and Its Applications in Machine Learning2013
- Author(s)
  M. Sugiyama, S. Liu, M. C. du Plessis, Y. Yamanaka, M. Yamada, T.Suzuki, T. Kanamori
- Journal Title
  
  Journal of Computing Science and Engineering
  
  Volume: vol. 7 no. 2 Pages: 99-111
- Peer Reviewed
- Data Source
  KAKENHI-PROJECT-22340016
[Journal Article] A Bregman Extension of quasi-Newton updates I: An Information Geometrical framework2013
- Author(s)
  Takafumi Kanamori and Atsumi Ohara
- Journal Title
  
  Optimization Methods and Software
  
  Volume: 28 Issue: 1 Pages: 96-123
- DOI
  10.1080/10556788.2011.613073
- Peer Reviewed
- Data Source
  KAKENHI-PROJECT-23540134, KAKENHI-PROJECT-24300106, KAKENHI-PROJECT-24500340
[Journal Article] Statistical Models and Learning Algorithms for Ordinal Regression Problems2013
- Author(s)
  T. Kanamori
- Journal Title
  
  Information Fusion
  
  Volume: 14 Issue: 2 Pages: 199-207
- DOI
  10.1016/j.inffus.2012.05.006
- Peer Reviewed
- Data Source
  KAKENHI-PROJECT-24500340
[Journal Article] A Unified Classification Model Based on Robust Optimization2013
- Author(s)
  Akiko Takeda, Hiroyuki Mitsugi, and Takafumi Kanamori
- Journal Title
  
  Neural Computation
  
  Volume: 25 Issue: 3 Pages: 759-804
- DOI
  10.1162/neco_a_00412
- Peer Reviewed
- Data Source
  KAKENHI-PROJECT-23710174, KAKENHI-PROJECT-24300106, KAKENHI-PROJECT-24500340
[Journal Article] Computational complexity of kernel-based density-ratio estimation: A condition number analysis2013
- Author(s)
  Takafumi Kanamori, Taiji Suzuki, and Masashi Sugiyama
- Journal Title
  
  Machine Learning
  
  Volume: 90 Issue: 3 Pages: 431-460
- DOI
  10.1007/s10994-012-5323-6
- Peer Reviewed
- Data Source
  KAKENHI-PROJECT-22700289, KAKENHI-PROJECT-24300106, KAKENHI-PROJECT-24500340
[Journal Article] Improving LogitBoost with Prior Knowledge2013
- Author(s)
  T. Kanamori, T. Takenouchi
- Journal Title
  
  Information Fusion
  
  Volume: vol. 14 Pages: 208-219
- Peer Reviewed
- Data Source
  KAKENHI-PROJECT-22340016
[Journal Article] Conjugate Relation between Loss Functions and Uncertainty Sets in Classification Problems2013
- Author(s)
  T. Kanamori, A. Takeda, T. Suzuki
- Journal Title
  
  Journal of Machine Learning Research
  
  Volume: vol. 14 Pages: 1461-1504
- Peer Reviewed
- Data Source
  KAKENHI-PROJECT-22340016
[Journal Article] Conjugate Relation between Loss Functions and Uncertainty Sets in Classification Problems2013
- Author(s)
  T. Kanamori, A. Takeda, T. Suzuki
- Journal Title
  
  Journal of Machine Learning Research
  
  Volume: 14 Pages: 1461-1504
- Peer Reviewed
- Data Source
  KAKENHI-PROJECT-24300106
[Journal Article] A Bregman Extension of quasi-Newton updates II: Analysis of Robustness Properties2013
- Author(s)
  Takafumi Kanamori and Atsumi Ohara
- Journal Title
  
  Journal of Computational and Applied Mathematics
  
  Volume: 253 Pages: 104-122
- DOI
  10.1016/j.cam.2013.04.005
- Peer Reviewed
- Data Source
  KAKENHI-PROJECT-23540134, KAKENHI-PROJECT-24500340
[Journal Article] Improving LogitBoost with Prior Knowledge2013
- Author(s)
  T. Kanamori, T. Takenouchi
- Journal Title
  
  Information Fusion
  
  Volume: 14 Issue: 2 Pages: 208-219
- DOI
  10.1016/j.inffus.2011.11.004
- Peer Reviewed
- Data Source
  KAKENHI-PROJECT-24500340
[Journal Article] Relative Density-Ratio Estimation for Robust Distribution Comparison2013
- Author(s)
  Makoto Yamada, Taiji Suzuki, Takafumi Kanamori, Hirotaka Hachiya, and Masashi Sugiyama
- Journal Title
  
  Neural Computation
  
  Volume: 25 Issue: 5 Pages: 1324-1370
- DOI
  10.1162/neco_a_00442
- NAID
  10031099905
- Peer Reviewed
- Data Source
  KAKENHI-PROJECT-22700289, KAKENHI-PROJECT-24500340
[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] A Bregman extension of quasi-Newton updates II: analysis of robustness properties2013
- Author(s)
  T. Kanamori, A. Ohara
- Journal Title
  
  Journal of Computational and Applied Mathematics
  
  Volume: 253 Pages: 104-122
- Peer Reviewed
- Data Source
  KAKENHI-PROJECT-24300106
[Journal Article] Semi-Supervised Learning with Density-Ratio Estimation2013
- Author(s)
  M. Kawakita, T. Kanamori
- Journal Title
  
  Machine Learning
  
  Volume: Volume 91, Issue 2 Pages: 189-209
- Peer Reviewed
- Data Source
  KAKENHI-PROJECT-22340016
[Journal Article] Density Difference Estimation2013
- Author(s)
  M. Sugiyama, T. Kanamori, T. Suzuki, M. C. du Plessis, S. Liu, I. Takeuchi
- Journal Title
  
  Neural Computation
  
  Volume: vol. 25(10) Pages: 2734-2775
- NAID
  110009588474
- Peer Reviewed
- Data Source
  KAKENHI-PROJECT-22340016
[Journal Article] Semi-Supervised Learning with Density-Ratio Estimation2013
- Author(s)
  M. Kawakita, T. Kanamori
- Journal Title
  
  Machine Learning
  
  Volume: 91 Issue: 2 Pages: 189-209
- DOI
  10.1007/s10994-013-5329-8
- Peer Reviewed
- Data Source
  KAKENHI-PROJECT-24500340
[Journal Article] A Bregman extension of quasi-Newton updates II: analysis of robustness properties2013
- Author(s)
  T. Kanamori, A. Ohara
- Journal Title
  
  Journal of Computational and Applied Mathematics
  
  Volume: vol. 253 Pages: 104-122
- Peer Reviewed
- Data Source
  KAKENHI-PROJECT-22340016
[Journal Article] Conjugate Relation between Loss Functions and Uncertainty Sets in Classification Problems2013
- Author(s)
  T. Kanamori, A. Takeda, T. Suzuki
- Journal Title
  
  Journal of Machine Learning Research
  
  Volume: 14 Pages: 1461-1504
- Peer Reviewed
- Data Source
  KAKENHI-PROJECT-24500340
[Journal Article] Relative Density-Ratio Estimation for Robust Distribution Comparison2013
- Author(s)
  M. Yamada, T. Suzuki, T. Kanamori, H. Hachiya, M. Sugiyama
- Journal Title
  
  Neural Computation
  
  Volume: vol. 25, No. 5 Pages: 1324-1370
- NAID
  10031099905
- Peer Reviewed
- Data Source
  KAKENHI-PROJECT-22340016
[Journal Article] F-divergence estimation and two-sample homogeneity test under semiparametric density-ratio models2012
- Author(s)
  T. Kanamori, T. Suzuki, M. Sugiyama
- Journal Title
  
  IEEE Transactions on Information Theory
  
  Volume: Vol.58, Issue 2 Pages: 708-720
- Peer Reviewed
- Data Source
  KAKENHI-PROJECT-20700251
[Journal Article] Pooling design and bias correction in DNA library screening2012
- Author(s)
  T.Kanamori, H.Uehara, M.Jimbo
- Journal Title
  
  Journal of Statistical Theory and Practice
  
  Volume: 6 Pages: 220-238
- Peer Reviewed
- Data Source
  KAKENHI-PROJECT-22340016
[Journal Article] f-divergence estimation and two-sample homogeneity test under semiparametric density-ratio models2012
- Author(s)
  T.Kanamori, T.Suzuki, M.Sugiyama
- Journal Title
  
  IEEE Transactions on Information Theory
  
  Volume: 58 Pages: 708-720
- Peer Reviewed
- Data Source
  KAKENHI-PROJECT-20700251
[Journal Article] Pooling Design and Bias Correction in DNA Library Screening2012
- Author(s)
  T.Kanamori, H.Uehara, M.Jimbo
- Journal Title
  
  Journal of Statistical Theory and Practice
  
  Volume: 6 Pages: 220-238
- Peer Reviewed
- Data Source
  KAKENHI-PROJECT-20700251
[Journal Article] Statistical analysis of kernel-based least-squares density-ratio estimation2012
- Author(s)
  T.Kanamori, T.Suzuki, M.Sugiyama
- Journal Title
  
  Machine Learning
  
  Volume: 86 Pages: 335-367
- Peer Reviewed
- Data Source
  KAKENHI-PROJECT-20700251
[Journal Article] Worst-Case Violation of Sampled Convex Programs for Optimization with Uncertainty2012
- Author(s)
  T. Kanamori, A. Takeda
- Journal Title
  
  Journal of Optimization Theory and Applications
  
  Volume: vol.152, Issue 1 Pages: 171-197
- Peer Reviewed
- Data Source
  KAKENHI-PROJECT-20700251
[Journal Article] Statistical analysis of kernel-based least-squares density-ratio estimation2012
- Author(s)
  T. Kanamori, T. Suzuki, M. Sugiyama
- Journal Title
  
  Machine Learning
  
  Volume: vol.86, Issue 3 Pages: 335-367
- Peer Reviewed
- Data Source
  KAKENHI-PROJECT-20700251
[Journal Article] Multiscale Bagging and its Applications2011
- Author(s)
  H.Shimodaira, T.Kanamori, M.Aoki, K.Mine
- Journal Title
  
  IEICE Transactions on Information and Systems
  
  Volume: E94-D Pages: 1924-1932
- NAID
  10030193311
- Peer Reviewed
- Data Source
  KAKENHI-PROJECT-20700251
[Journal Article] Direct density-ratio estimation with dimensionality reduction via least-squares hetero-distributional subspace search2011
- Author(s)
  Sugiyama M., Yamada M., von Bunau P., Suzuki T., Kanamori T., Kawanabe M
- Journal Title
  
  Neural Networks
  
  Volume: 24 Pages: 183-198
- Peer Reviewed
- Data Source
  KAKENHI-PROJECT-20700251
[Journal Article] Multiscale Bagging and its Applications2011
- Author(s)
  H. Shimodaira, T. Kanamori, M. Aoki, K. Mine
- Journal Title
  
  IEICE Transactions on Information and Systems
  
  Volume: Volume E94-D No.10 Pages: 1924-1932
- NAID
  10030193311
- Peer Reviewed
- Data Source
  KAKENHI-PROJECT-20700251
[Journal Article] Statistical Outlier Detection Using Direct Density Ratio Estimation2011
- Author(s)
  S.Hido, Y.Tsuboi, H.Kashima, M.Sugiyama, T.Kanamori
- Journal Title
  
  Knowledge and Information Systems
  
  Volume: 26 Pages: 309-336
- Peer Reviewed
- Data Source
  KAKENHI-PROJECT-20700251
[Journal Article] Density ratio matching under the Bregman divergence: A unified framework of density ratio estimation2011
- Author(s)
  Masashi Sugiyama, Taiji Suzuki, and Takafumi Kanamori
- Journal Title
  
  Annals of the Institute of Statistical Mathematics
  
  Volume: 11 Issue: 5 Pages: 1-36
- DOI
  10.1007/s10463-011-0343-8
- NAID
  40019382740
- Peer Reviewed
- Data Source
  KAKENHI-PROJECT-22700289, KAKENHI-PROJECT-24300106, KAKENHI-PROJECT-24500340
[Journal Article] Least-Squares Two-Sample Test2011
- Author(s)
  M.Sugiyama, T.Suzuki, Y.Itho, T.Kanamori, M.Kimura
- Journal Title
  
  Neural Networks
  
  Volume: 24 Pages: 735-751
- Peer Reviewed
- Data Source
  KAKENHI-PROJECT-20700251
[Journal Article] Theoretical Analysis of Density Ratio Estimation2010
- Author(s)
  Kanamori, T., Suzuki, T., Sugiyama, M.
- Journal Title
  
  IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences E93-A
  
  Pages: 787-798
- NAID
  10026863929
- Peer Reviewed
- Data Source
  KAKENHI-PROJECT-20700251
[Journal Article] Theoretical Analysis of Density Ratio Estimation2010
- Author(s)
  T. Kanamori, T. Suzuki, M. Sugiyama
- Journal Title
  
  Communications and Computer Sciences
  
  Volume: vol.E93-A, no.4 Pages: 787-798
- NAID
  10026863929
- Peer Reviewed
- Data Source
  KAKENHI-PROJECT-20700251
[Journal Article] Theoretical Analysis of Density Ratio Estimation2010
- Author(s)
  Kanamori, T., Suzuki, T., Sugiyama
- Journal Title
  
  IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences
  
  Volume: E93-A Pages: 787-798
- NAID
  10026863929
- Peer Reviewed
- Data Source
  KAKENHI-PROJECT-20700251
[Journal Article] Deformation of Log-Likelihood Loss Function for Multiclass Boosting2010
- Author(s)
  T. Kanamori
- Journal Title
  
  Neural Networks
  
  Volume: vol.23 Pages: 843-864
- Peer Reviewed
- Data Source
  KAKENHI-PROJECT-20700251
[Journal Article] Theoretical Analysis of Density Ratio Estimation.2010
- Author(s)
  Kanamori, T., Suzuki, T., Sugiyama
- Journal Title
  
  IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences vol.E93-A, no.4
  
  Pages: 787-798
- NAID
  10026863929
- Data Source
  KAKENHI-PROJECT-20700251
[Journal Article] Deformation of Log-Likelihood Loss Function for Multiclass Boosting2010
- Author(s)
  Takafumi Kanamori
- Journal Title
  
  Neural Networks vol.23
  
  Pages: 843-864
- Peer Reviewed
- Data Source
  KAKENHI-PROJECT-20700251
[Journal Article] Deformation of Log-Likelihood Loss Function for Multiclass Boosting2010
- Author(s)
  Kanamori, T.
- Journal Title
  
  Neural Networks
  
  Volume: 23 Pages: 843-864
- Peer Reviewed
- Data Source
  KAKENHI-PROJECT-20700251
[Journal Article] Mutual information estimation reveals global associations between stimuli and biological processes2009
- Author(s)
  Suzuki, T., Sugiyama, M., Kanamori, T., and Sese, J
- Journal Title
  
  BMC Bioinformatics 10
  
  Pages: 52-52
- Peer Reviewed
- Data Source
  KAKENHI-PROJECT-20700251
[Journal Article] A Robust Approach Based on Conditional Value-at-Risk Measure to Statistical Learning Problems.2009
- Author(s)
  Takeda, A., Kanamori, T.
- Journal Title
  
  European Journal of Operational Research 198
  
  Pages: 287-296
- Peer Reviewed
- Data Source
  KAKENHI-PROJECT-20700251
[Journal Article] Nonparametric Conditional Density Estimation Using Piecewise-Linear Path Following for Kernel Quantile Regression2009
- Author(s)
  I. Takeuchi, K. Nomura, T. Kanamori
- Journal Title
  
  Neural Computation
  
  Volume: vol.21, num. 2 Pages: 533-559
- Peer Reviewed
- Data Source
  KAKENHI-PROJECT-20700251
[Journal Article] A Least-squares Approach to Direct Importance Estimation2009
- Author(s)
  T. Kanamori, S. Hido, M. Sugiyama
- Journal Title
  
  Journal of Machine Learning Research
  
  Volume: 10 Pages: 1391-1445
- Peer Reviewed
- Data Source
  KAKENHI-PROJECT-20700251
[Journal Article] A Least-squares Approach to Direct Importance Estimation.2009
- Author(s)
  Takafumi Kanamori, Shohei Hido, Masashi Sugiyama
- Journal Title
  
  Journal of Machine Learning Research. 10
  
  Pages: 1391-1445
- Peer Reviewed
- Data Source
  KAKENHI-PROJECT-20700251
[Journal Article] Nonparametric Conditional Density Estimation Using Piecewise-Linear Path Following for Kernel Quantile Regression2009
- Author(s)
  Takeuchi, Ichiro, Nomura, Kaname, Kanamori, Takafumi
- Journal Title
  
  Neural Computation 21
  
  Pages: 533-559
- Peer Reviewed
- Data Source
  KAKENHI-PROJECT-20700251
[Journal Article] A Least-squares Approach to Direct Importance Estimation2009
- Author(s)
  Takafumi Kanamori, Shohei Hido, M asashi Sugiyama
- Journal Title
  
  Journal of Machine Learning Research. 10
  
  Pages: 1391-1445
- Peer Reviewed
- Data Source
  KAKENHI-PROJECT-20700251
[Journal Article] Robust boosting algorithm against mislabeling in multi-class problems2008
- Author(s)
  T.Takenouchi, S.Eguchi, N.Murata and T.Kanamori.
- Journal Title
  
  Neural Computation 20(6)
  
  Pages: 1596-1630
- Description
  「研究成果報告書概要(和文)」より
- Peer Reviewed
- Data Source
  KAKENHI-PROJECT-16300088
[Journal Article] Robust Boosting Algorithm against Mislabelling in Multi-Class Problems.2008
- Author(s)
  Takenouchi, T., Eguchi, S., Murata, N., Kanamori, T.
- Journal Title
  
  Neural Computation vol.20, num.6
  
  Pages: 1596-1630
- Data Source
  KAKENHI-PROJECT-20700251
[Journal Article] Robust boosting algorithm against mislabeling in multi-class problems.2008
- Author(s)
  T. Takenouchi, S. Eguchi, N. Murata and T. Kanamori.
- Journal Title
  
  Neural Computation 20(6)
  
  Pages: 1596-1630
- Peer Reviewed
- Data Source
  KAKENHI-PROJECT-16300088
[Journal Article] Robust Boosting Algorithm against Mislabelling in Multi-Class Problems2008
- Author(s)
  T. Takenouchi, S. Eguchi, N. Murata, T. Kanamori
- Journal Title
  
  Neural Computation
  
  Volume: vol.20, num. 6 Pages: 1596-1630
- Peer Reviewed
- Data Source
  KAKENHI-PROJECT-20700251
[Journal Article] Robust boosting algorithm against mislabeling in multi-class problems.2008
- Author(s)
  T. Takenouchi, S. Eguchi, N. Murata, T. Kanamori.
- Journal Title
  
  Neural Computation 20, 6
  
  Pages: 1596-1630
- Description
  「研究成果報告書概要(欧文)」より
- Data Source
  KAKENHI-PROJECT-16300088
[Journal Article] Robust Boosting Algorithm against Mislabelling in Multi-Class Problems2008
- Author(s)
  Takenouchi, T., Eguchi, S., Murata, N., Kanamori, T.
- Journal Title
  
  Neural Computation To appear
- Peer Reviewed
- Data Source
  KAKENHI-PROJECT-17700277
[Journal Article] Robust Boosting Algorithm against Mislabelling in Multi-Class Problems2008
- Author(s)
  Takenouchi, Takashi., Eguchi, Sinto, Murata, Nobobu, Kanamori, Takafumi
- Journal Title
  
  Neural Computation 20
  
  Pages: 1596-1630
- Peer Reviewed
- Data Source
  KAKENHI-PROJECT-20700251
[Journal Article] Robust Loss Functions for Boosting2007
- Author(s)
  T.Kanamori, T.Takenouchi, S.Eguchi, N.Murata
- Journal Title
  
  Neural Computation (To appear)
- Data Source
  KAKENHI-PROJECT-16300088
[Journal Article] Pool-based Active Learning with Optimal Sampling Distribution and its Information Geometrical Interpretation2007
- Author(s)
  Kanamori, T.,
- Journal Title
  
  Neurocomputing 71
  
  Pages: 353-362
- Peer Reviewed
- Data Source
  KAKENHI-PROJECT-17700277
[Journal Article] Obtaining Conditional Probability Estimation from Multiclass Boosting2007
- Author(s)
  Kanamori, T.
- Journal Title
  
  IEICE Transactions on Information and Systems 12
  
  Pages: 2033-2042
- Peer Reviewed
- Data Source
  KAKENHI-PROJECT-17700277
[Journal Article] Robust loss functions for boosting2007
- Author(s)
  T.Kanamori, T.Takenouchi, S.Eguchi and N.Murata.
- Journal Title
  
  Neural Computation 19
  
  Pages: 2183-2244
- Description
  「研究成果報告書概要(和文)」より
- Peer Reviewed
- Data Source
  KAKENHI-PROJECT-16300088
[Journal Article] Robust loss functions for boosting.2007
- Author(s)
  T. Kanamori, T. Takenouchi, S. Eguchi, N. Murata.
- Journal Title
  
  Neural Computation 19
  
  Pages: 2183-2244
- Description
  「研究成果報告書概要(欧文)」より
- Data Source
  KAKENHI-PROJECT-16300088
[Journal Article] Geometrical Structure of Boosting Algorithm2007
- Author(s)
  Kanamori T., Takenouchi T., Murata N.
- Journal Title
  
  New Generation Computing 6・25
  
  Pages: 117-141
- Data Source
  KAKENHI-PROJECT-17700277
[Journal Article] Robust loss functions for boosting.2007
- Author(s)
  T. Kanamori, T. Takenouchi, S. Eguchi and N. Murata.
- Journal Title
  
  Neural Computation 19
  
  Pages: 2183-2244
- Peer Reviewed
- Data Source
  KAKENHI-PROJECT-16300088
[Journal Article] Conditional Mean Estimation under Asymmetric and Heteroscedastic Error by Linear Combination of Quantile Regressions2006
- Author(s)
  Kanamori T., Takeuchi I.
- Journal Title
  
  Computational Statistics and Data Analysis 50・12
  
  Pages: 3605-3618
- Data Source
  KAKENHI-PROJECT-17700277
[Journal Article] Obtaining Conditional Probability Estimation From Multiclass Boosting2006
- Author(s)
  Kanamori T.
- Journal Title
  
  情報論的学習理論ワークショップ予稿集 8
- Data Source
  KAKENHI-PROJECT-17700277
[Journal Article] Conditional mean estimation under asymmetric and heteroscedastic error by linear combination of quantile regressions2006
- Author(s)
  Takafumi Kanamori, Ichiro Takeuchi
- Journal Title
  
  Computational Statistics and Data Analysis 掲載決定
- Data Source
  KAKENHI-PROJECT-17700277
[Journal Article] ブースティングと学習アルゴリズム三人寄れば文殊の知恵は本当か2005
- Author(s)
  村田昇, 金森敬文, 竹之内高志
- Journal Title
  
  電子情報通信学会誌 88・9
  
  Pages: 724-729
- Data Source
  KAKENHI-PROJECT-17700277
[Journal Article] 区分線形パス追跡法による条件分位点パスの計算2005
- Author(s)
  竹内一郎, 野村要, 金森敬文
- Journal Title
  
  情報論的学習理論ワークショップ予稿集 8巻
  
  Pages: 105-110
- Data Source
  KAKENHI-PROJECT-17700277
[Journal Article] Estimators for Conditional Expectations under Asymmetric and Heteroscedastic Error Distribusions2005
- Author(s)
  Takafumi Kanamori, Ichiro Takeuchi
- Journal Title
  
  International Symposium on The Art of Statistical Metaware 21
  
  Pages: 312-313
- Data Source
  KAKENHI-PROJECT-14780169
[Journal Article] Conditional Value-at-Risk Approach to Robust Optimization and Applications to Statistical Learning under Distribution Perturbation2005
- Author(s)
  武田朗子, 金森敬文
- Journal Title
  
  情報論的学習理論ワークショップ予稿集 8巻
  
  Pages: 111-116
- Data Source
  KAKENHI-PROJECT-17700277
[Journal Article] Statistical Models for Multi-Class Classification and Integrability of Estimation Equations2004
- Author(s)
  Takafumi Kanamori
- Journal Title
  
  Proceedings of Information-Based Induction Sciences 7
  
  Pages: 170-177
- Data Source
  KAKENHI-PROJECT-14780169
[Journal Article] アンサンブル学習の新展開2004
- Author(s)
  金森敬文
- Journal Title
  
  Learning SICE symposium on Intelligent Systems 31
  
  Pages: 25-30
- Data Source
  KAKENHI-PROJECT-14780169
[Journal Article] The most robust loss function for boosting2004
- Author(s)
  Kanamori, T., Takenouchi, T., Eguchi, S. and Murata, N.
- Journal Title
  
  Lecture Notes in Computer Science Neural Information Processing:11th International Conference 3316
  
  Pages: 496-501
- Description
  「研究成果報告書概要(和文)」より
- Peer Reviewed
- Data Source
  KAKENHI-PROJECT-16300088
[Journal Article] Information geometry of U-Boost and Bregman divergence2004
- Author(s)
  Murata, N., Takenouchi, T., Kanamori, T. and Eguchi, S.
- Journal Title
  
  Neural Computation 16
  
  Pages: 1437-1481
- Description
  「研究成果報告書概要(和文)」より
- Peer Reviewed
- Data Source
  KAKENHI-PROJECT-16300088
[Journal Article] The most robust loss function for boosting2004
- Author(s)
  Takafumi Kanamori, Takashi Takenouchi, Shinto Eguchi, Noboru Murata
- Journal Title
  
  Lecture note in computer science, Neural Information Proccessing 3316
  
  Pages: 496-501
- Data Source
  KAKENHI-PROJECT-14780169
[Journal Article] The most robust loss function for boosting.2004
- Author(s)
  Kanamori, T.(Tokyo Institute of Technology), Takenouchi, T.(The Institute of Statisitcal Mathematics), Eguchi, S.(The Institute of Statisitcal Mathematics), Murata, N.(Waseda university)
- Journal Title
  
  Lecture Notes in Computer Science Neural Information Processing : 11th International Conference vol.3316
  
  Pages: 496-501
- Data Source
  KAKENHI-PROJECT-16300088
[Journal Article] Information Geometry of U-boost and Bregman Divergence2004
- Author(s)
  Noboru Murata, Takashi Takenouchi, Takafumi Kanamori, Shinto Eguchi
- Journal Title
  
  Neural Computation 16・7
  
  Pages: 1437-1482
- Data Source
  KAKENHI-PROJECT-14780169
[Journal Article] Information geometry of UBoost and Bregman divergence.2004
- Author(s)
  N. Murata, T. Takenouchi, T. Kanamori, S. Eguchi.
- Journal Title
  
  Neural Computation 16
  
  Pages: 437-1481
- Description
  「研究成果報告書概要(欧文)」より
- Data Source
  KAKENHI-PROJECT-16300088
[Journal Article] Information geometry of U-Boost and Bregman divergence2004
- Author(s)
  Murata, N.(Waseda unversity), Takenouchi, T.(The Institute of Statistical Mathematics), Kanamori, T.(Tokyo Institute of Technology), Eguchi, S.(The Institute of Statistical Mathematics)
- Journal Title
  
  Neural Computation vol.16
  
  Pages: 1437-1481
- Data Source
  KAKENHI-PROJECT-16300088
[Journal Article] Robust Boosting and Loss Functions2004
- Author(s)
  Takafumi Kanamori, Takashi Takenouchi, Shinto Eguchi, Noboru Murata
- Journal Title
  
  IEICE Technical Report 104・225
  
  Pages: 1-6
- NAID
  110003232646
- Data Source
  KAKENHI-PROJECT-14780169
[Journal Article] Active Learning algorithm using the maximum weighted log-likelihood estimator2003
- Author(s)
  Kanamori, T., Shimodaira, H.
- Journal Title
  
  Journal of Statistica Planning and Inference 116, 1
  
  Pages: 149-162
- Description
  「研究成果報告書概要(和文)」より
- Data Source
  KAKENHI-PROJECT-14540104
[Journal Article] Active Learning algorithm using the maximum weighted log-likelihood estimator2003
- Author(s)
  T.Kanamori, H.Shimodaira
- Journal Title
  
  Journal of Statistical Planning and Inference v.116, no.1
  
  Pages: 149-162
- Description
  「研究成果報告書概要(欧文)」より
- Data Source
  KAKENHI-PROJECT-14540104
[Journal Article] Information Geometry of U-Boost and Bregman Divergence
- Author(s)
  Murata, N., Takenouchi, T., Kanamori, T., Eguchi, S.
- Journal Title
  
  Neural COmputation (To appear)
- Description
  「研究成果報告書概要(和文)」より
- Data Source
  KAKENHI-PROJECT-14540104
[Journal Article] Pool-based Active Learning with Optimal Sampling Distribution and its Information Geometrical Interpretation
- Author(s)
  Kanamori T.
- Journal Title
  
  Neurocomputing (In press)
- Data Source
  KAKENHI-PROJECT-17700277
[Journal Article] Information Geometry of U-Boost and Bregman Divergence
- Author(s)
  N.Murata, T.Takenouchi, T.Kanamori, S.Eguchi
- Journal Title
  
  Neural Computation (to appear)
- Description
  「研究成果報告書概要(欧文)」より
- Data Source
  KAKENHI-PROJECT-14540104
[Journal Article] Robust Loss Functions for Boosting
- Author(s)
  Kanamori T., Takenouchi T., Eguchi S., Murata N.
- Journal Title
  
  Neural Computation (In press)
- Data Source
  KAKENHI-PROJECT-17700277
[Journal Article] Information Geometry of U-Boost and Bregman Divergence
- Author(s)
  Murata, N., Takenouchi, T., Kanamori, T., Eguchi, S.
- Journal Title
  
  Neural Computation (To appear)
- Data Source
  KAKENHI-PROJECT-14540104
[Patent] 演算装置および学習済みモデル2021
- Inventor(s)
  前佑樹，金森敬文
- Industrial Property Rights Holder
  前佑樹，金森敬文
- Industrial Property Rights Type
  特許
- Filing Date
  2021
- Acquisition Date
  2023
- Data Source
  KAKENHI-PROJECT-19H04071
[Presentation] Robust VAEs via Generating Process of Noise Augmented Data2024
- Author(s)
  H. Irobe, W. Aoki, K. Yamazaki, Y. Zhang, T. Nakagawa, H. Waida, Y. Wada, T. Kanamori,
- Organizer
  IEEE International Symposium on Information Theory
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-19H04071
[Presentation] Open-World Learning Under Dataset Shift2024
- Author(s)
  P. Srey, Y. Zhang, T. Kanamori,
- Organizer
  IEEE Conference on Artificial Intelligence
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-19H04071
[Presentation] Open-World Learning Under Dataset Shift2024
- Author(s)
  P. Srey, Y. Zhang, T. Kanamori
- Organizer
  IEEE Conference on Artificial Intelligence
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-23K28150
[Presentation] Robust VAEs via Generating Process of Noise Augmented Data2024
- Author(s)
  H. Irobe, W. Aoki, K. Yamazaki, Y. Zhang, T. Nakagawa, H. Waida, Y. Wada, T. Kanamori
- Organizer
  IEEE International Symposium on Information Theory
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-23K28150
[Presentation] 有界領域上における一致性のあるカーネル密度推定量の構成2023
- Author(s)
  中川匠、髙梨耕作、金森敬文
- Organizer
  統計関連学会連合大会
- Data Source
  KAKENHI-PROJECT-23K28150
[Presentation] Towards Understanding the Mechanism of Contrastive Learning via Similarity Structure: A Theoretical Analysis2023
- Author(s)
  H. Waida, Y. Wada, L. Andeol, T. Nakagawa, Y. Zhang, T. Kanamori
- Organizer
  European Conference on Machine Learning and Data Mining
- Data Source
  KAKENHI-PROJECT-23K28150
[Presentation] 有界領域上における一致性のあるカーネル密度推定量の構成2023
- Author(s)
  中川匠、髙梨耕作、金森敬文
- Organizer
  統計関連学会連合大会
- Data Source
  KAKENHI-PROJECT-19H04071
[Presentation] 平滑化全変動距離によるロバスト推定2023
- Author(s)
  金森敬文、横山皓大、川島孝行
- Organizer
  統計関連学会連合大会
- Data Source
  KAKENHI-PROJECT-19H04071
[Presentation] Towards Understanding the Mechanism of Contrastive Learning via Similarity Structure: A Theoretical Analysis2023
- Author(s)
  H. waida, Y. Wada, L. Andeol, T. Nakagawa, Y. Zhang, T. Kanamori
- Organizer
  European Conference on Machine Learning and Data Mining
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-19H04071
[Presentation] 平滑化全変動距離によるロバスト推定2023
- Author(s)
  金森敬文、横山皓大、川島孝行
- Organizer
  統計関連学会連合大会
- Data Source
  KAKENHI-PROJECT-23K28150
[Presentation] Local Acquisition Function for Active Level Set Estimation2023
- Author(s)
  Y. Kokubun, K. Matsui, K. Kutsukake, W. Kumagai, T. Kanamori
- Organizer
  NeurIPS 2023 Workshop on Adaptive Experimental Design and Active Learning in the Real World
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-19H04071
[Presentation] 局所探索型獲得関数に基づく能動的レベル集合推定法の提案2023
- Author(s)
  國分裕太; 松井孝太; 沓掛健太郎; 熊谷亘; 金森敬文
- Organizer
  情報論的学習理論ワークショップIBIS
- Data Source
  KAKENHI-PROJECT-19H04071
[Presentation] 局所探索型獲得関数に基づく能動的レベル集合推定法の提案2023
- Author(s)
  國分裕太、松井孝太、沓掛健太郎、熊谷亘、金森敬文
- Organizer
  情報論的学習理論ワークショップIBIS
- Data Source
  KAKENHI-PROJECT-23K28150
[Presentation] Fast Neural Architecture Search with Random Neural Tangent Kernel2023
- Author(s)
  Keigo Wakayama, Takafumi Kanamori
- Organizer
  情報論的学習理論ワークショップIBIS
- Data Source
  KAKENHI-PROJECT-23K28150
[Presentation] Local Acquisition Function for Active Level Set Estimation2023
- Author(s)
  Y. Kokubun, K. Matsui, K. Kutsukake, W. Kumagai, T. Kanamori
- Organizer
  NeurIPS 2023 Workshop on Adaptive Experimental Design and Active Learning in the Real World(
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-23K28150
[Presentation] Fast Neural Architecture Search with Random Neural Tangent Kernel2023
- Author(s)
  Keigo Wakayama; Takafumi Kanamori
- Organizer
  情報論的学習理論ワークショップIBIS
- Data Source
  KAKENHI-PROJECT-19H04071
[Presentation] Mode estimation on matrix manifolds: Convergence and robustness2022
- Author(s)
  H. Sasaki, J. Hirayama, T. Kanamori,
- Organizer
  The 25th International Conference on Artificial Intelligence and Statistics (AISTATS2022)
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-19H04071
[Presentation] Unified surrogate bounds for kernel-based contrastive unsupervised representation learning.2022
- Author(s)
  和井田博貴; 和田裕一郎; Andeol Leo; 中川匠; Zhang Yuhui; 金森敬文
- Organizer
  第25回情報理論的学習理論ワークショップ(IBIS2022)
- Data Source
  KAKENHI-PROJECT-19H04071
[Presentation] Denoising Cosine Similarity: A Theory-Driven Approach for Efficient Representation Learning2022
- Author(s)
  中川匠; 眞田雄太郎; 和井田博貴; Zhang Yuhui; 和田裕一郎; 髙梨耕作; 山田知典; 金森敬文
- Organizer
  第25回情報理論的学習理論ワークショップ(IBIS2022)
- Data Source
  KAKENHI-PROJECT-19H04071
[Presentation] Deep Self-Supervised Learning of Speech Denoising from Noisy Speeches.2022
- Author(s)
  Y. Sanada1, T. Nakagawa, Y. Wada, K. Takanashi, Y. Zhang, K. Tokuyama, T. Kanamori, T. Yamada,
- Organizer
  INTERSPEECH 2022
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-19H04071
[Presentation] 一般化スコアマッチによる切断分布の推定2020
- Author(s)
  Song Liu, Takafumi Kanamori
- Organizer
  統計関連学会連合大会
- Data Source
  KAKENHI-PROJECT-20H00576
[Presentation] Robust modal regression with direct gradient approximation of modal regression risk.2020
- Author(s)
  H. Sasaki, T Sakai, T. Kanamori,
- Organizer
  The Conference on Uncertainty in Artificial Intelligence (UAI2020)
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-19H04071
[Presentation] A Unified Statistically Efficient Estimation Framework for Unnormalized Models2020
- Author(s)
  M. Uehara, T. Kanamori, T. Takenouchi, T. Matsuda,
- Organizer
  The 23rd International Conference on Artificial Intelligence and Statistics (AISTATS 2020)
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-19H04071
[Presentation] Foundations of transfer learning and its application to multi-center prognostic prediction.2019
- Author(s)
  K. Matsui, W. Kumagai, K. Kanamori, M. Nisikimi, S. Matsui, T. Kanamori
- Organizer
  2019 WNAR/IMS/JR Annual Meeting
- Invited / Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-19H04071
[Presentation] Fisher Efficient Inference of Intractable Models.2019
- Author(s)
  S. Liu, T. Kanamori, W. Jitkrittum, Y. Chen
- Organizer
  The Neural Information Processing Systems (NeurIPS 2019), December 2019.
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-19H04071
[Presentation] Fisher Efficient Inference of Intractable Models.2019
- Author(s)
  S. Liu, T. Kanamori, W. Jitkrittum, Y. Chen,
- Organizer
  The Neural Information Processing Systems (NeurIPS 2019)
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-16K00044
[Presentation] Foundations of transfer learning and its application to multi-center prognostic prediction.2019
- Author(s)
  K. Matsui, W. Kumagai, K. Kanamori, M. Nisikimi, S. Matsui, T. Kanamori,
- Organizer
  WNAR/IMS/JR Annual Meeting, Portland, Oregon, USA
- Invited / Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-16K00044
[Presentation] Foundations of transfer learning and its application to multi-center prognostic prediction2019
- Author(s)
  K. Matsui、W. Kumagai、K. Kanamori、M. Nisikimi、S. Matsui、T. Kanamori
- Organizer
  WNAR/IMS/JR Annual Meeting
- Invited / Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-15H01678
[Presentation] Fisher Efficient Inference of Intractable Models2019
- Author(s)
  S. Liu、T. Kanamori、W. Jitkrittum、Y. Chen
- Organizer
  The Neural Information Processing Systems 2019
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-15H01678
[Presentation] Estimation of Function Ratio and Applications2019
- Author(s)
  Kanamori Takafumi
- Organizer
  Workshop on "High-Dimensional Statistical Analysis"
- Invited / Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-15H01678
[Presentation] Variable Selection Consistency in Kernel Methods using shrinkage parameters2018
- Author(s)
  Takafumi Kanamori, Kota Matsui, Wataru Kumagai, Kenta Kanamori
- Organizer
  統計関連学会連合学会
- Data Source
  KAKENHI-PROJECT-16K00044
[Presentation] Statistical inference with unnormalized models2018
- Author(s)
  Takafumi Kanamori
- Organizer
  International Symposium on Statistical Theory and Methodology for Large Complex Data
- Invited / Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-16K00044
[Presentation] Statistical inference with unnormalized models2018
- Author(s)
  Takafumi Kanamori
- Organizer
  International Symposium on Statistical Theory and Methodology for Large Complex Data
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-15H03636
[Presentation] Variable Selection Consistency in Kernel Methods using shrinkage parameters2018
- Author(s)
  Takafumi Kanamori, Kota Matsui, Wataru Kumagai, Kenta Kanamori
- Organizer
  統計関連学会連合学会
- Data Source
  KAKENHI-PROJECT-15H03636
[Presentation] カーネル法における変数選択の一致性2018
- Author(s)
  金森敬文
- Organizer
  研究集会「実験計画法ならびに情報数理と関連する組合せ構造 2018」
- Invited
- Data Source
  KAKENHI-PROJECT-16K00044
[Presentation] 変数選択付きカーネル密度比推定に基づく多施設の予後予測解析2018
- Author(s)
  松井孝太，熊谷亘，金森研太，錦見満暁，金森敬文
- Organizer
  統計関連学会連合学会
- Data Source
  KAKENHI-PROJECT-16K00044
[Presentation] カーネル法における変数選択2018
- Author(s)
  金森敬文
- Organizer
  大規模統計モデリングと計算統計V
- Invited
- Data Source
  KAKENHI-PROJECT-16K00044
[Presentation] パラメータ転移学習におけるリスク上界2017
- Author(s)
  熊谷亘，金森敬文
- Organizer
  統計関連学会連合大会
- Data Source
  KAKENHI-PROJECT-16K00044
[Presentation] Estimating Density Ridges by Direct Estimation of Density-Derivative-Ratios2017
- Author(s)
  Hiroaki Sasaki, Takafumi Kanamori and Masashi Sugiyama
- Organizer
  the 20th International Conference on Artificial Intelligence and Statistics (AISTATS)
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-15H03636
[Presentation] Parallel Distributed Block Coordinate Descent Methods Based on Pairwise Comparison Oracle2017
- Author(s)
  K. Matsui, W. Kumagai, T. Kanamori
- Organizer
  the 2017 INFORMS ANNUAL MEETING
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-15H03636
[Presentation] 比の推定と Density Ridge2017
- Author(s)
  金森敬文
- Organizer
  JST&CREST AIPチャレンジシンポジウム「ビッグデータ利活用のための基盤構築とその応用」
- Place of Presentation
  名古屋工業大学(愛知県名古屋市)
- Year and Date
  2017-02-16
- Invited
- Data Source
  KAKENHI-PROJECT-15H01678
[Presentation] Estimating Density Ridges by Direct Estimation of Density-Derivative-Ratios2017
- Author(s)
  Hiroaki Sasaki, Takafumi Kanamori and Masashi Sugiyama,
- Organizer
  the 20th International Conference on Artificial Intelligence and Statistics
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-16K00044
[Presentation] 局所情報による統計的推論2017
- Author(s)
  金森敬文
- Organizer
  統計関連学会連合大会
- Data Source
  KAKENHI-PROJECT-16K00044
[Presentation] Parallel Distributed Block Coordinate Descent Methods Based on Pairwise Comparison Oracle2017
- Author(s)
  K. Matsui, W. Kumagai, T. Kanamori
- Organizer
  the 2017 INFORMS ANNUAL MEETING
- Invited / Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-16K00044
[Presentation] Statistical Inference using Graph-based Divergences on Discrete Sample2016
- Author(s)
  Kanamori, T.
- Organizer
  Symposium on Statistical Analysis for Large Complex Data
- Place of Presentation
  筑波大学（茨城県つくば市）
- Year and Date
  2016-11-21
- Invited / Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-15H01678
[Presentation] Bregman divergence and its Applications2016
- Author(s)
  金森敬文
- Organizer
  情報理論とその応用シンポジウム
- Place of Presentation
  岐阜
- Year and Date
  2016-12-13
- Invited
- Data Source
  KAKENHI-PROJECT-16K00044
[Presentation] 離散空間上のグラフ構造に基つく局所ブレグマンダイバージェンス2016
- Author(s)
  金森敬文, 竹之内高志
- Organizer
  統計関連学会連合大会
- Place of Presentation
  金沢大学
- Year and Date
  2016-09-05
- Data Source
  KAKENHI-PROJECT-16K00044
[Presentation] Statistical Inference using Graph-based Divergences on Discrete Sample Spaces2016
- Author(s)
  Takafumi Kanamori
- Organizer
  International Symposium on Statistical Analysis for Large Complex Data
- Place of Presentation
  筑波大学
- Year and Date
  2016-11-21
- Invited / Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-16K00044
[Presentation] グラフ上の局所ブレグマンダイバージェンスによる統計的推定2016
- Author(s)
  金森敬文, 竹之内高志
- Organizer
  情報論的学習理論研究会
- Place of Presentation
  京都大学
- Year and Date
  2016-11-16
- Data Source
  KAKENHI-PROJECT-16K00044
[Presentation] ダイバージェンスによる統計的推論2016
- Author(s)
  金森敬文, 藤澤洋徳
- Organizer
  統計関連学会連合大会
- Place of Presentation
  金沢大学
- Year and Date
  2016-09-05
- Invited
- Data Source
  KAKENHI-PROJECT-16K00044
[Presentation] Empirical Localization of Homogeneous Divergences on Discrete Sample Spaces2015
- Author(s)
  Takashi Takenouchi, Takafumi Kanamori
- Organizer
  The Neural Information Processing Systems
- Place of Presentation
  Montreal, Canada
- Year and Date
  2015-12-07
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-24300106
[Presentation] Robust regression using unnormalized model under heterogeneous contamination2015
- Author(s)
  Hironori Fujisawa, Takafumi Kanamori
- Organizer
  International Conference of the ERCIM WG on Computational and Methodological Statistics
- Place of Presentation
  London, UK
- Year and Date
  2015-12-12
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-24300106
[Presentation] Robustness of Machine Learning Algorithms using Non-Convex Loss Functions2015
- Author(s)
  金森敬文，藤原秀平，武田朗子
- Organizer
  統計関連学会連合大会
- Place of Presentation
  岡山
- Year and Date
  2015-09-08
- Data Source
  KAKENHI-PROJECT-24500340
[Presentation] 斉次ダイバージェンスとその応用2015
- Author(s)
  金森敬文
- Organizer
  RIMS共同研究「量子統計モデリングの基盤構築」
- Place of Presentation
  京都
- Year and Date
  2015-11-12
- Data Source
  KAKENHI-PROJECT-24500340
[Presentation] 同次ダイバージェンスとその応用2015
- Author(s)
  竹之内高志，金森敬文
- Organizer
  情報論的学習理論ワークショップ
- Place of Presentation
  筑波
- Year and Date
  2015-11-26
- Data Source
  KAKENHI-PROJECT-24500340
[Presentation] Robustification of Learning Algorithms using Hinge-loss2015
- Author(s)
  金森敬文，藤原秀平，武田朗子
- Organizer
  情報論的学習理論ワークショップ
- Place of Presentation
  筑波
- Year and Date
  2015-11-26
- Data Source
  KAKENHI-PROJECT-24500340
[Presentation] Robust Estimation under Heavy Contamination using Unnormalized Models2015
- Author(s)
  金森敬文，藤澤洋徳
- Organizer
  統計関連学会連合大会
- Place of Presentation
  岡山
- Year and Date
  2015-09-08
- Data Source
  KAKENHI-PROJECT-24500340
[Presentation] Empirical Localization of Homogeneous Divergences on Discrete Sample Spaces2015
- Author(s)
  Takashi Takenouchi, Takafumi Kanamori
- Organizer
  The Neural Information Processing Systems
- Place of Presentation
  Montreal, Canada
- Year and Date
  2015-12-09
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-24500340
[Presentation] Robust regression using unnormalized model under heterogeneous contamination2015
- Author(s)
  Hironori Fujisawa, Takafumi Kanamori
- Organizer
  International Conference of the ERCIM WG on Computational and Methodological Statistics
- Place of Presentation
  London, UK
- Year and Date
  2015-12-12
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-24500340
[Presentation] 準ニュートン法のブレグマン拡張と疎なヘッセ行列の更新則2015
- Author(s)
  金森敬文
- Organizer
  RIMS共同研究「デザイン・符号・グラフおよびその周辺」
- Place of Presentation
  京都
- Year and Date
  2015-07-09
- Data Source
  KAKENHI-PROJECT-24500340
[Presentation] 擬球スコアとその周辺2015
- Author(s)
  金森敬文
- Organizer
  研究集会「大規模統計モデリングと計算統計II」
- Place of Presentation
  東京
- Year and Date
  2015-09-26
- Data Source
  KAKENHI-PROJECT-24500340
[Presentation] 非凸最適化に基づく機械学習アルゴリズムのロバストネス2015
- Author(s)
  金森敬文，藤原秀平，武田朗子
- Organizer
  日本オペレーションズ・リサーチ学会 RAMPシンポジウム
- Place of Presentation
  静岡
- Year and Date
  2015-10-15
- Data Source
  KAKENHI-PROJECT-24500340
[Presentation] Affine Invariant Divergences and their Applications2014
- Author(s)
  T. Kanamori, H. Fujisawa
- Organizer
  The 3rd Institute of Mathematical Statistics, Asia Pacific Rim Meeting
- Place of Presentation
  台湾
- Year and Date
  2014-06-01
- Data Source
  KAKENHI-PROJECT-22340016
[Presentation] Affine Invariant Divergences and their Applications2014
- Author(s)
  T. Kanamori, H. Fujisawa
- Organizer
  The 3rd Institute of Mathematical Statistics, Asia Pacific Rim Meeting
- Place of Presentation
  Taipei
- Year and Date
  2014-06-29
- Data Source
  KAKENHI-PROJECT-24300106
[Presentation] Legendre Transformation in Machine Learning2014
- Author(s)
  T. Kanamori
- Organizer
  Workshop: Information Geometry for Machine Learning
- Place of Presentation
  理化学研究所 (埼玉県和光市)
- Year and Date
  2014-12-03
- Invited
- Data Source
  KAKENHI-PROJECT-24300106
[Presentation] A comparison-based derivative free optimization algorithm and its query complexity2014
- Author(s)
  松井孝太, 熊谷亘, 金森敬文
- Organizer
  東海ファシィ研究会
- Place of Presentation
  愛知県知多郡南知多町日間賀島字永峰18 日間賀島公民館
- Data Source
  KAKENHI-PROJECT-24500340
[Presentation] ヘルダー不等式とスケール不変ダイバージェンス2014
- Author(s)
  金森敬文
- Organizer
  研究所短期共同研究，統計多様体の幾何学の新展開
- Place of Presentation
  京都大学数理解析研究所
- Data Source
  KAKENHI-PROJECT-24500340
[Presentation] Constrained Least-Squares Density-Difference Estimation2013
- Author(s)
  Nguyen Tuan Duong, Marthinus Christoffel du Plessis, Takafumi Kanamori, Masashi Sugiyama
- Organizer
  情報論的学習理論と機械学習研究会
- Place of Presentation
  名古屋工業大学
- Data Source
  KAKENHI-PROJECT-24500340
[Presentation] アファイン不変な統計的ダイバージェンスとその応用2013
- Author(s)
  金森敬文，藤澤洋徳
- Organizer
  統計関連学会連合大会
- Place of Presentation
  大阪大学
- Data Source
  KAKENHI-PROJECT-24500340
[Presentation] f-divergence estimation and two-sample test under semi-parametric density ratio models.2012
- Author(s)
  Kanamori T., Suzuki, T., Sugiyama, M.
- Organizer
  The 2nd Institute of Mathematical Statistics, Asia Pacific Rim Meeting (IMS-APRM)
- Place of Presentation
  Tsukuba，Japan
- Data Source
  KAKENHI-PROJECT-24500340
[Presentation] A Conjugate Property between Loss Functions and Uncertainty Sets in Classification Problems,2012
- Author(s)
  Kanamori, T., Takeda, A., Suzuki, T.
- Organizer
  25th International Conference on Learning Theory(COLT)
- Place of Presentation
  Edinburgh, Scotland
- Data Source
  KAKENHI-PROJECT-24500340
[Presentation] Robust opt imi zat ion-based classification method2012
- Author(s)
  Takeda A., Kanamori T., Mitsugi H.
- Organizer
  The 21st International Symposium on Mathematical Programming(ISMP)
- Place of Presentation
  Berlin (Germany)
- Year and Date
  2012-08-19
- Data Source
  KAKENHI-PROJECT-24300106
[Presentation] Robust optimization-based classification method.2012
- Author(s)
  Takeda A. Kanamori T., Mitsugi H.
- Organizer
  The 21st International Symposium on Mathematical Programming(ISMP)
- Place of Presentation
  Berlin, Germany
- Data Source
  KAKENHI-PROJECT-24500340
[Presentation] Density-Difference Estimation.2012
- Author(s)
  Sugiyama M., Kanamori T., Suzuki T., Plessis M., Liu S., Takeuchi I.
- Organizer
  The Neural Information Processing Systems(NIPS)
- Place of Presentation
  Nevada, USA
- Data Source
  KAKENHI-PROJECT-24500340
[Presentation] A Conjugate Property between Loss Functions and Uncertainty Sets in Classification Problems2012
- Author(s)
  Kanamori T., Takeda A., Suzuki T.
- Organizer
  Int. Conf. on Learning Theory (COLT)
- Place of Presentation
  Edinburgh (UK)
- Year and Date
  2012-06-25
- Data Source
  KAKENHI-PROJECT-24300106
[Presentation] ２値判別における損失関数と不確実性集合の共役性，2012
- Author(s)
  金森敬文, 武田朗子, 鈴木大慈
- Organizer
  統計関連学会連合大会
- Place of Presentation
  北海道大学
- Data Source
  KAKENHI-PROJECT-24500340
[Presentation] 半教師付き学習の漸近論2012
- Author(s)
  川喜田雅則, 金森敬文
- Organizer
  研究集会「確率測度の最適化と通信路容量について」
- Place of Presentation
  統計数理研究所
- Year and Date
  2012-03-12
- Data Source
  KAKENHI-PROJECT-20700251
[Presentation] A Unified Robust Classification Model2012
- Author(s)
  Takeda A. , Mitsugi H. , Kanamori T.
- Organizer
  Int. Conf. on Machine Learning (ICML)
- Place of Presentation
  Edinburgh (UK)
- Year and Date
  2012-06-26
- Data Source
  KAKENHI-PROJECT-24300106
[Presentation] Non-Convex Optimization on Stiefel Manifold and Applications to Machine Learning,2012
- Author(s)
  Kanamori T., Takeda A.
- Organizer
  The 19th International Conference on Neural Information Processing(ICONIP)
- Place of Presentation
  Doha, Qatar
- Data Source
  KAKENHI-PROJECT-24500340
[Presentation] 機械学習における共役性について2012
- Author(s)
  金森敬文, 武田朗子, 鈴木大慈
- Organizer
  幾何統計小研究集会「データ解析における新規連携分野の調査」
- Place of Presentation
  名古屋工業大学
- Year and Date
  2012-02-01
- Data Source
  KAKENHI-PROJECT-20700251
[Presentation] A Unified Robust Classification Model2012
- Author(s)
  Takeda, A., Mitsugi, H., Kanamori, T.
- Organizer
  29th International Conference on Machine Learning(ICML)
- Place of Presentation
  Edinburgh, Scotland
- Data Source
  KAKENHI-PROJECT-24500340
[Presentation] 判別分析における損失関数と不確実性集合の共役性について2012
- Author(s)
  金森敬文, 武田朗子, 鈴木大慈
- Organizer
  科研費シンポジウム「生体数理・社会数理の統計科学」
- Place of Presentation
  早稲田大学
- Year and Date
  2012-03-01
- Data Source
  KAKENHI-PROJECT-20700251
[Presentation] Relative density-ratio estimation for robust distribution comparison2011
- Author(s)
  M. Yamada, T. Suzuki, T. Kanamori, H. Hachiya, and M. Sugiyama
- Organizer
  Neural Information Processing Systems
- Place of Presentation
  Granada, Spain
- Year and Date
  2011-12-13
- Data Source
  KAKENHI-PROJECT-20700251
[Presentation] f-divergence estimation and two-sample homogeneity test under semiparametric density-ratio models2011
- Author(s)
  T.Kanamori, T.Suzuki, M.Sugiyama
- Organizer
  情報理論とその応用シンポジウム
- Place of Presentation
  岩手
- Year and Date
  2011-11-29
- Data Source
  KAKENHI-PROJECT-20700251
[Presentation] Relative density-ratio estimation for robust distribution comparison2011
- Author(s)
  Yamada, M., Suzuki, T., Kanamori, T., Hachiya, H., Sugiyama, M
- Organizer
  Neural Information Processing Systems (NIPS2011)
- Place of Presentation
  Granada, Spain
- Year and Date
  2011-12-13
- Data Source
  KAKENHI-PROJECT-20700251
[Presentation] ロバスト最適化による判別モデル2011
- Author(s)
  武田朗子, 参木裕之, 金森敬文
- Organizer
  情報論的学習理論ワークショップ
- Place of Presentation
  奈良女子大学
- Year and Date
  2011-11-09
- Data Source
  KAKENHI-PROJECT-20700251
[Presentation] Kouta Mine Multiscale Bagging with Applications to Classification and Active Learning.2010
- Author(s)
  Shimodaira H., Kanamori T., Masayoshi A.
- Organizer
  The 2nd Asian Conference on Machine Learning
- Place of Presentation
  Tokyo, Japan.
- Data Source
  KAKENHI-PROJECT-20700251
[Presentation] Direct density ratio estimation with dimensionality reduction SIAM2010
- Author(s)
  Sugiyama, M., Hara, S., von Bunau, P., Suzuki, T., Kanamori, T.,& Kawanabe, M
- Organizer
  International Conference on Data Mining Columbus
- Place of Presentation
  Ohio, USA
- Year and Date
  2010-05-29
- Data Source
  KAKENHI-PROJECT-20700251
[Presentation] A Bregman extension of quasi-Newton updates2010
- Author(s)
  T. Kanamori and A. Ohara
- Organizer
  Information Geometry and its Applications
- Place of Presentation
  Germany
- Year and Date
  2010-08-02
- Data Source
  KAKENHI-PROJECT-20700251
[Presentation] Conditional density estimation via least-squares density ratio estimation2010
- Author(s)
  Sugiyama, M., Takeuchi, I., Kanamori, T., Suzuki, T., Hachiya, H., Okanohara, D
- Organizer
  Thirteenth International Conference on Artificial Intelligence and Statistics
- Place of Presentation
  Sardinia, Italy
- Year and Date
  2010-05-13
- Data Source
  KAKENHI-PROJECT-20700251
[Presentation] A Bregman extension of quasi-Newton updates.2010
- Author(s)
  Kanamori T., Ohara Atsumi
- Organizer
  Information Geometry and its Applications
- Place of Presentation
  Germany
- Data Source
  KAKENHI-PROJECT-20700251
[Presentation] Multiscale-bagging with Applications to Classification2010
- Author(s)
  A.Masayoshi, Kanamori T., Shimodaira H
- Organizer
  The 2nd Asian Conference on Machine Learning
- Place of Presentation
  Tokyo
- Year and Date
  2010-11-10
- Data Source
  KAKENHI-PROJECT-20700251
[Presentation] Direct density ratio estimation with dimensionality reduction2010
- Author(s)
  Sugiyama, M., Hara, S., von Bunau, P., Suzuki, T., Kanamori, T., Kawanabe, M
- Organizer
  the 10th SIAM International Conference on Data Mining
- Place of Presentation
  Ohio, USA
- Year and Date
  2010-05-29
- Data Source
  KAKENHI-PROJECT-20700251
[Presentation] A Bregman extension of quasi-Newton updates2010
- Author(s)
  Kanamori T., Ohara Atsumi
- Organizer
  Information Geometry and its Applications
- Place of Presentation
  Leipzig, Germany
- Year and Date
  2010-08-02
- Data Source
  KAKENHI-PROJECT-20700251
[Presentation] Multiscale Bagging with Applications to Classification and Active Learning2010
- Author(s)
  Shimodaira H.Kanamori T., Masayoshi A., Kouta Mine
- Organizer
  The 2nd Asian Conference on Machine Learning
- Place of Presentation
  Tokyo
- Year and Date
  2010-11-10
- Data Source
  KAKENHI-PROJECT-20700251
[Presentation] Condition Number Analysis of Kernel-based Density Ratio Estimation.2009
- Author(s)
  T. Kanamori, T. Suzuki, M. Sugiyama
- Organizer
  ICML workshop on Numerical Mathematics in Machine Learning
- Place of Presentation
  Montreal Canada
- Data Source
  KAKENHI-PROJECT-20700251
[Presentation] Efficient direct importance estimation for covariate shift adaptation and outlier detection.2009
- Author(s)
  T. Kanamori
- Organizer
  The 1st Institute of Mathematical Statistics
- Place of Presentation
  Asia Pacific Rim Meeting, Seoul
- Data Source
  KAKENHI-PROJECT-20700251
[Presentation] Condition Number Analysis of Kernel-based Density Ratio Estimation2009
- Author(s)
  T. Kanamori, T. Suzuki, M. Sugiyama
- Organizer
  Numerical Mathematics in Machine Learning(NUMML2009)
- Place of Presentation
  Montreal, Canada
- Year and Date
  2009-06-18
- Data Source
  KAKENHI-PROJECT-20700251
[Presentation] Efficient direct importance estimation for covariate shift adaptation and outlier detection2009
- Author(s)
  Kanamori, T.
- Organizer
  The 1st Institute of Mathematical Statistics, Asia Pacific Rim Meeting
- Place of Presentation
  Seoul
- Year and Date
  2009-06-28
- Data Source
  KAKENHI-PROJECT-20700251
[Presentation] Efficient Direct Density Ratio Estimation for Non-stationarity Adaptation and Outlier Detection2008
- Author(s)
  T. Kanamori, M. Sugiyama, and S. Hido
- Organizer
  Neural Information Processing Systems
- Place of Presentation
  Vancouver, B. C., Canada
- Year and Date
  2008-12-16
- Data Source
  KAKENHI-PROJECT-20700251
[Presentation] Shohei Hido Efficient Direct Density Ratio Estimation for Non-stationarity2008
- Author(s)
  Takafumi Kanamori, Masashi Sugiyama
- Organizer
  Adaptation and Outlier Detection NIPS
- Place of Presentation
  Vancouver, Canada
- Data Source
  KAKENHI-PROJECT-20700251
[Presentation] Efficient Direct Density Ratio Estimation for Non-stationarity Adaptation and Outlier Detection2008
- Author(s)
  Takafumi Kanamori, Masashi Sugivama, and Shohei Hido
- Organizer
  Neural Information Processing Systems
- Place of Presentation
  カナダ・バンクーバ
- Year and Date
  2008-12-16
- Data Source
  KAKENHI-PROJECT-20700251
[Presentation] Multiclass Boosting Algorithms for Shrinkage Estimators of Class Probability2007
- Author(s)
  Kanamori, T.
- Organizer
  Algorithmic Learning Theory Conference
- Place of Presentation
  仙台・日本
- Year and Date
  2007-10-02
- Data Source
  KAKENHI-PROJECT-17700277
[Presentation] Robust optimization-based classification method.
- Author(s)
  Takeda A. Kanamori T., Mitsugi H.
- Organizer
  The 21st International Symposium on Mathematical Programming
- Place of Presentation
  Berlin Institute of Technology（Germany）
- Data Source
  KAKENHI-PROJECT-22340016
[Presentation] Parallel Distributed Block Coordinate Descent Methods based on Pairwise Comparison Oracle,
- Author(s)
  Kota Matsui, Wataru Kumagai, Takafumi Kanamori,
- Organizer
  第17回情報論的学習理論ワークショップ(IBIS2014)
- Place of Presentation
  名古屋大学
- Year and Date
  2014-11-17 – 2014-11-19
- Data Source
  KAKENHI-PROJECT-24500340
[Presentation] Affine Invariant Divergences and their Applications,
- Author(s)
  T. Kanamori, H. Fujisawa,
- Organizer
  The 3rd Institute of Mathematical Statistics, Asia Pacific Rim Meeting,
- Place of Presentation
  Taipei
- Year and Date
  2014-06-30 – 2014-07-03
- Data Source
  KAKENHI-PROJECT-24500340
[Presentation] アファイン不変な統計的ダイバージェンスとその応用
- Author(s)
  金森敬文，藤澤洋徳
- Organizer
  2013年度統計関連学会連合大会
- Place of Presentation
  大阪大学（大阪府豊中市）
- Data Source
  KAKENHI-PROJECT-24300106
[Presentation] f-divergence estimation and two-sample test under semi-parametric density ratio models.
- Author(s)
  Kanamori T., Suzuki, T., Sugiyama, M.
- Organizer
  The 2nd Institute of Mathematical Statistics, Asia Pacific Rim Meeting
- Place of Presentation
  つくば国際会議場（つくば市）
- Data Source
  KAKENHI-PROJECT-22340016
[Presentation] ２値判別における損失関数と不確実性集合の共役性
- Author(s)
  金森敬文, 武田朗子, 鈴木大慈
- Organizer
  統計関連学会連合大会
- Place of Presentation
  北海道大学高等教育推進機構
- Data Source
  KAKENHI-PROJECT-22340016
[Presentation] Non-Convex Optimization on Stiefel Manifold and Applications to Machine Learning
- Author(s)
  Kanamori T., Takeda A.
- Organizer
  The 19th International Conference on Neural Information Processing
- Place of Presentation
  Renaissance Doha City Center Hotel(ドーハ，カタール)
- Data Source
  KAKENHI-PROJECT-22340016
[Presentation] Constrained Least-Squares Density-Difference Estimation
- Author(s)
  Nguyen Tuan Duong, Marthinus Christoffel du Plessis, Takafumi Kanamori, Masashi Sugiyama
- Organizer
  情報論的学習理論と機械学習研究会
- Place of Presentation
  名古屋工業大学
- Data Source
  KAKENHI-PROJECT-22340016
[Presentation] ヘルダー不等式とスケール不変ダイバージェンス
- Author(s)
  金森敬文
- Organizer
  研究所短期共同研究，統計多様体の幾何学の新展開
- Place of Presentation
  京都大学数理解析研究所
- Data Source
  KAKENHI-PROJECT-22340016
[Presentation] アファイン不変な統計的タイハーシェンスとその応用
- Author(s)
  金森敬文，藤澤洋徳
- Organizer
  統計関連学会連合大会
- Place of Presentation
  大阪大学
- Data Source
  KAKENHI-PROJECT-22340016
[Presentation] A Conjugate Property between Loss Functions and Uncertainty Sets in Classification Problems
- Author(s)
  Kanamori, T., Takeda, A., Suzuki, T.
- Organizer
  25th International Conference on Learning Theory
- Place of Presentation
  ｴｼﾞﾝﾊﾞﾗ大学（ｽｺｯﾄﾗﾝﾄﾞ）
- Data Source
  KAKENHI-PROJECT-22340016
[Presentation] Legendre Transformation in Machine Learning
- Author(s)
  T. Kanamori
- Organizer
  Workshop: Information Geometry for Machine Learning
- Place of Presentation
  RIKEN, Saitama, Japan
- Year and Date
  2014-12-03 – 2014-12-05
- Invited
- Data Source
  KAKENHI-PROJECT-24500340
[Presentation] 規格化されていないモデルを用いたロバスト推定
- Author(s)
  金森敬文
- Organizer
  統計多様体の諸分野への応用
- Place of Presentation
  京都大学数理解析研究所共同研究
- Year and Date
  2014-11-19 – 2014-11-21
- Invited
- Data Source
  KAKENHI-PROJECT-24500340
[Presentation] A comparison-based derivative free optimization algorithm and its query complexity
- Author(s)
  松井孝太, 熊谷亘, 金森敬文
- Organizer
  第36回東海ファシィ研究会
- Place of Presentation
  日間賀島公民館
- Data Source
  KAKENHI-PROJECT-22340016
[Presentation] Robust Estimation under Heavy Contamination using Unnormalized Models
- Author(s)
  Takafumi Kanamori, Hironori Fujisawa,
- Organizer
  第17回情報論的学習理論ワークショップ(IBIS2014)
- Place of Presentation
  名古屋大学
- Year and Date
  2014-11-17 – 2014-11-19
- Data Source
  KAKENHI-PROJECT-24500340
[Presentation] A Unified Robust Classification Model
- Author(s)
  Takeda, A., Mitsugi, H., Kanamori, T.
- Organizer
  29th International Conference on Machine Learning
- Place of Presentation
  ｴｼﾞﾝﾊﾞﾗ大学（ｽｺｯﾄﾗﾝﾄﾞ）
- Data Source
  KAKENHI-PROJECT-22340016
[Presentation] Density-Difference Estimation.
- Author(s)
  Sugiyama M., Kanamori T., Suzuki T., Plessis M., Liu S., Takeuchi I.
- Organizer
  The Neural Information Processing Systems
- Place of Presentation
  Lake Tahoe,Nevada,United States
- Data Source
  KAKENHI-PROJECT-22340016
[Presentation] ヘルダー不等式とスケール不変ダイバージェンス
- Author(s)
  金森敬文
- Organizer
  統計多様体の幾何学の新展開
- Place of Presentation
  京都大学数理解析研究所（京都府京都市）
- Data Source
  KAKENHI-PROJECT-24300106
[Presentation] Breakdown Point of Robust Support Vector Machine
- Author(s)
  Takafumi Kanamori, Fujiwara Shuhei, Akiko Takeda
- Organizer
  第17回情報論的学習理論ワークショップ(IBIS2014)
- Place of Presentation
  名古屋大学
- Year and Date
  2014-11-17 – 2014-11-19
- Data Source
  KAKENHI-PROJECT-24500340
[Presentation] ロバストサポートベクターマシンの拡張に対する DC アルゴリズムの適用，
- Author(s)
  藤原秀平, 武田朗子, 金森敬文，
- Organizer
  第17回情報論的学習理論ワークショップ(IBIS2014)
- Place of Presentation
  名古屋大学
- Year and Date
  2014-11-17 – 2014-11-19
- Data Source
  KAKENHI-PROJECT-24500340

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KANAMORI Takafumi 金森 敬文

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構造化されたデータ表現の獲得と多様な機械学習タスクへの適用に関する統計理論Principal Investigator

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Statistical Learning with feature extraction and information integration of High-dimensional, large-scale, multi-domain dataPrincipal Investigator

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Mathematics and Practical Algorithms for machine Learning methods with non-convex lossesPrincipal Investigator

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Theory and Applications of Density RatioPrincipal Investigator

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transversal study of machine learning and optimizationPrincipal Investigator

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アンサンブル学習のアルゴリズム開発と理論的解析Principal Investigator

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KANAMORI Takafumi 金森敬文