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TOMIOKA Ryota  冨岡 亮太

ORCIDConnect your ORCID iD *help
… Alternative Names

富岡 亮太  トミオカ リョウタ

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Researcher Number 70518282
Affiliation (based on the past Project Information) *help 2017: 東京大学, 情報理工学(系)研究科, 助教
2015: Microsoft Research, Researcher
2011 – 2013: 東京大学, 情報理工学(系)研究科, 助教
2010 – 2012: 東京大学, 大学院・情報理工学系研究科, 助教
Review Section/Research Field
Principal Investigator
Intelligent informatics / Intelligent informatics
Except Principal Investigator
Complex systems / Intelligent informatics
Keywords
Principal Investigator
機械学習 / データマイニング / 凸最適化 / テンソル分解 / 最適化 / スパース / スパース正則化 / テンソル / 行列 / 正則化 / スパース性 … More
Except Principal Investigator
… More アルゴリズム / 最適化 / ベイズ推論 / セミパラメトリック / スパースモデリング / ネットワーク / 異常検知 / モデル選択 / 潜在的ダイナミックス / 潜在変数モデル / 変化検知 / ビッグデータ / 機械学習 / 潜在的ダイナミクス / データマイニング / 情報論的学習理論 Less
  • Research Projects

    (4 results)
  • Research Products

    (37 results)
  • Co-Researchers

    (28 People)
  •  Deepening and applications of sparse modeling by approaches of semiparametric Bayesian inference

    • Principal Investigator
      Fukumizu Kenji
    • Project Period (FY)
      2013 – 2017
    • Research Category
      Grant-in-Aid for Scientific Research on Innovative Areas (Research in a proposed research area)
    • Review Section
      Complex systems
    • Research Institution
      The Institute of Statistical Mathematics
  •  高度なデータ解析の実現のための機械学習および最適化アルゴリズムの相転移現象の解析Principal Investigator

    • Principal Investigator
      冨岡 亮太
    • Project Period (FY)
      2013
    • Research Category
      Grant-in-Aid for Young Scientists (B)
    • Research Field
      Intelligent informatics
    • Research Institution
      The University of Tokyo
  •  Study on Information theoretic Learning Theory of Latent Dynamics

    • Principal Investigator
      Yamanishi Kenji
    • Project Period (FY)
      2011 – 2015
    • Research Category
      Grant-in-Aid for Scientific Research (A)
    • Research Field
      Intelligent informatics
    • Research Institution
      The University of Tokyo
  •  Machine learning based on sparsity-inducing regularization for matricesPrincipal Investigator

    • Principal Investigator
      TOMIOKA Ryota
    • Project Period (FY)
      2010 – 2012
    • Research Category
      Grant-in-Aid for Young Scientists (B)
    • Research Field
      Intelligent informatics
    • Research Institution
      The University of Tokyo

All 2015 2014 2013 2012 2011 2010 Other

All Journal Article Presentation Book

  • [Book] Augmented Lagrangian Methods for Learning, Selecting, and Combining Features (S.Sra, S.Nowozin, S.J.Wright編集"Optimization for Machine Learning"の一部)2011

    • Author(s)
      冨岡亮太
    • Publisher
      MIT Press(印刷中(掲載確定))
    • Data Source
      KAKENHI-PROJECT-22700138
  • [Book] Augmented Lagrangian methods for learning, selecting, and combining features.2011

    • Author(s)
      R. Tomioka, T. Suzuki, and M. Sugiyama.
    • Publisher
      MIT Press.
    • Data Source
      KAKENHI-PROJECT-22700138
  • [Journal Article] Early detection of persistent topics in social networks.2015

    • Author(s)
      Shota .Saito, Ryota.Tomioka, and Kenji.Yamanish
    • Journal Title

      Social Network Analysis and Mining

      Volume: 0 Issue: 1 Pages: 5-19

    • DOI

      10.1007/s13278-015-0257-1

    • Peer Reviewed / Acknowledgement Compliant / Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-23240019
  • [Journal Article] Ryota Tomioka, and Taiji Suzuki: Convex Tensor Decomposition via Structured Schatten Norm Regularization.2014

    • Author(s)
      Tomioka, R. and Suzuki, T.
    • Journal Title

      Advances in Neural Information Processing Systems

      Volume: 26 Pages: 1331-1339

    • Peer Reviewed
    • Data Source
      KAKENHI-PLANNED-25120012
  • [Journal Article] Global Analytic Solution of Fully-observed Variational Bayesian Matrix Factorization2013

    • Author(s)
      Shinichi Nakajima, Masashi Sugiyama, S. Derin Babacan, Ryota Tomioka
    • Journal Title

      Journal of Machine Learning Research

      Volume: 14 Pages: 1-37

    • Peer Reviewed
    • Data Source
      KAKENHI-PROJECT-22700138
  • [Journal Article] スパース正則化学習の理論とアルゴリズム2013

    • Author(s)
      冨岡亮太
    • Journal Title

      日本応用数理学会 論文誌

      Volume: 23

    • Peer Reviewed
    • Data Source
      KAKENHI-PROJECT-25870192
  • [Journal Article] Global analytic solution of fully-observed variational Bayesian matrix factorization.2013

    • Author(s)
      S. Nakajima, M. Sugiyama, S. Babacan,and R. Tomioka.
    • Journal Title

      J. Mach.Learn. Res.

      Volume: 14 Pages: 1-37

    • Data Source
      KAKENHI-PROJECT-22700138
  • [Journal Article] Discovering emerging topics in social streams via link anomaly detection.2012

    • Author(s)
      T. Takahashi, R. Tomioka, and K. Yamanishi
    • Journal Title

      IEEE Transactions on Knowledge and Data Engineering.

      Volume: (Accepted.)

    • Data Source
      KAKENHI-PROJECT-22700138
  • [Journal Article] Discovering Emerging Topics in Social Streams via Link Anomaly Detection2012

    • Author(s)
      Toshimitsu Takahashi, Ryota Tomioka, Kenji Yamanishi
    • Journal Title

      IEEE Transactions on Knowledge and Data Engineering

      Volume: 未定 Issue: 1 Pages: 120-130

    • DOI

      10.1109/tkde.2012.239

    • Peer Reviewed
    • Data Source
      KAKENHI-PROJECT-22700138, KAKENHI-PROJECT-23240019
  • [Journal Article] Super-Linear Convergence of Dual Augmented Lagrangian Algorithm for Sparse Learning2011

    • Author(s)
      冨岡亮太
    • Journal Title

      Journal of Machine Learning Research

      Volume: (印刷中(掲載確定))

    • Peer Reviewed
    • Data Source
      KAKENHI-PROJECT-22700138
  • [Journal Article] Super-linear convergence of dual augmented Lagrangian algorithm for sparse learning.2011

    • Author(s)
      R. Tomioka, T. Suzuki, and M. Sugiyama
    • Journal Title

      Journal of Machine Learning Research

      Volume: 12 Pages: 1537-1586

    • Data Source
      KAKENHI-PROJECT-22700138
  • [Journal Article] SpicyMKL: A Fast Algorithm for Multiple Kernel Learning with Thousands of Kernels2011

    • Author(s)
      Taiji Suzuki and Ryota Tomioka
    • Journal Title

      DOI 10.1007/s10994-011-5252-9

      Volume: 85 Issue: 1-2 Pages: 77-108

    • DOI

      10.1007/s10994-011-5252-9

    • Peer Reviewed
    • Data Source
      KAKENHI-PROJECT-22700138, KAKENHI-PROJECT-22700289
  • [Journal Article] SpicyMKL: A Fast Algorithm for Multiple Kernel Learning with Thousands of Kernels.2011

    • Author(s)
      T. Suzuki and R. Tomioka
    • Journal Title

      Machine Learning

      Volume: 85 Pages: 77-108

    • Data Source
      KAKENHI-PROJECT-22700138
  • [Presentation] Quantitative prediction of glaucomatous visual field loss from few measurements2013

    • Author(s)
      Z. Liang, R. Tomioka, H. Murata, R. Asaoka, and K. Yamanishi
    • Organizer
      IEEE International Conference on Data Mining (ICDM’13)
    • Place of Presentation
      アメリカ・テキサス州ダラス
    • Data Source
      KAKENHI-PROJECT-25870192
  • [Presentation] Quantitative prediction of glaucomatous visual field loss from few measurements2013

    • Author(s)
      Zenghan Liang, Ryota Tomioka, Hiorshi Murata, Ryo Asaoka, Kenji Yamanishi
    • Organizer
      IEEE International Conference on Data Mining (ICDM2013)
    • Place of Presentation
      Dallas, USA
    • Data Source
      KAKENHI-PROJECT-23240019
  • [Presentation] 時空間クラスタリングに基づく緑内障進行予測の研究2013

    • Author(s)
      梁曾漢、冨岡亮太、村田博史、朝岡亮、山西健司
    • Organizer
      第16回情報論的学習理論ワークショップ(IBIS2013)
    • Place of Presentation
      東京、東工大
    • Data Source
      KAKENHI-PROJECT-23240019
  • [Presentation] Infinite Positive Semidefinite Tensor Factorization with Application to Music Signal Analysis2013

    • Author(s)
      K. Yoshii, R. Tomioka, D. Mochihashi, and M. Goto
    • Organizer
      30th International Conference on Machine Learning (ICML 2013)
    • Place of Presentation
      アメリカ・ジョージア州アトランタ
    • Data Source
      KAKENHI-PROJECT-25870192
  • [Presentation] Non-negative Multiple Tensor Factorization2013

    • Author(s)
      K. Takeuchi, R. Tomioka, K. Ishiguro, A. Kimura, and H. Sawada
    • Organizer
      IEEE International Conference on Data Mining (ICDM’13)
    • Place of Presentation
      アメリカ・テキサス州ダラス
    • Data Source
      KAKENHI-PROJECT-25870192
  • [Presentation] Convex Tensor Decomposition via Structured Schatten Norm Regularization2013

    • Author(s)
      R. Tomioka and T. Suzuki
    • Organizer
      Neural Information Processing Systems 2013 (NIPS 2013)
    • Place of Presentation
      アメリカ・ネバダ州レイク・タホ
    • Data Source
      KAKENHI-PROJECT-25870192
  • [Presentation] A Bayesian Analysis of the Radioactive Releases of Fukushima2012

    • Author(s)
      Ryota Tomioka and Morten Mørup
    • Organizer
      Artificial Intelligence and Statistics 2012 (AISTATS2012)
    • Place of Presentation
      ラパルマ・スペイン
    • Data Source
      KAKENHI-PROJECT-22700138
  • [Presentation] Perfect dimensionality recovery by variational Bayesian PCA.2012

    • Author(s)
      S. Nakajima, R. Tomioka, M. Sugiyama,and S. Babacan
    • Organizer
      In Advances in Neural Information Processing Systems
    • Data Source
      KAKENHI-PROJECT-22700138
  • [Presentation] A combinatorial algebraic approach for the identifiability of low-rank matrix completion.2012

    • Author(s)
      F. Kiraly and R. Tomioka
    • Organizer
      In Proc. 29th International Conference on Machine Learning
    • Data Source
      KAKENHI-PROJECT-22700138
  • [Presentation] A Combinatorial Algebraic Approach for the Identifiability of Low-Rank Matrix Completion2012

    • Author(s)
      Franz Kiraly and Ryota Tomioka
    • Organizer
      The 29th International Conference on Machine Learning (ICML2012)
    • Place of Presentation
      エジンバラ・イギリス
    • Data Source
      KAKENHI-PROJECT-22700138
  • [Presentation] A Bayesian Analysis of the Radioactive Releases of Fukushima2012

    • Author(s)
      Ryota Tomioka, Morten Morup
    • Organizer
      Fifteenth International Conference on Artificial Intelligence and Statistics
    • Place of Presentation
      La Palma, Spain
    • Data Source
      KAKENHI-PROJECT-23240019
  • [Presentation] A Bayesian Analysis of the Radioactive Releases of Fukushima.2012

    • Author(s)
      R. Tomioka and M. Morup
    • Organizer
      In JMLUR Workshop and Conference Proceedings 22 (AISTATS2012)
    • Data Source
      KAKENHI-PROJECT-22700138
  • [Presentation] ソーシャルネットワークにおける長期間流行する話題の早期検出2012

    • Author(s)
      斎藤翔太、冨岡亮太、山西健司
    • Organizer
      電子情報通信学会情報論的学習理論と機械学習研究会
    • Place of Presentation
      東京
    • Year and Date
      2012-03-12
    • Data Source
      KAKENHI-PROJECT-23240019
  • [Presentation] Perfect Dimensionality Recovery by Variational Bayesian PCA2012

    • Author(s)
      Shinichi Nakajima, Ryota Tomioka, Masashi Sugiyama, S. Derin Babacan
    • Organizer
      Neural Information Processing Systems 2012 (NIPS2012)
    • Place of Presentation
      レイクタホ・アメリカ
    • Data Source
      KAKENHI-PROJECT-22700138
  • [Presentation] Latent Dirichlet Allocationを用いた潜在的構造変化検知2012

    • Author(s)
      上田真士,冨岡亮太,山西健司,石黒勝彦,澤田宏,上田修功
    • Organizer
      電子情報通信学会情報論的学習理論と機械学習研究会
    • Place of Presentation
      東京
    • Year and Date
      2012-03-12
    • Data Source
      KAKENHI-PROJECT-23240019
  • [Presentation] Real-time Change-point Detection Using Sequentially Discounting Normalized Maximum Likelihood Coding2011

    • Author(s)
      浦部泰宏、山西健司、冨岡亮太
    • Organizer
      Pacific-Asia Conference on Knowledge Discovery and Data Mining
    • Place of Presentation
      中国 深
    • Year and Date
      2011-05-25
    • Data Source
      KAKENHI-PROJECT-23240019
  • [Presentation] Discovering emerging topics in social streams via link anomaly detection.2011

    • Author(s)
      T. Takahashi, R. Tomioka, and K.Yamanishi.
    • Organizer
      In Proc. of the 11th International Conference on Data Mining(ICDM2011)
    • Data Source
      KAKENHI-PROJECT-22700138
  • [Presentation] Statistical Performance of Convex Tensor Decomposition2011

    • Author(s)
      Ryota Tomioka, Taiji Suzuki, Kohei Hayashi, and Hisashi Kashima
    • Organizer
      Neural Information Processing Systems 2011 (NIPS2011)
    • Place of Presentation
      グラナダ・スペイン
    • Data Source
      KAKENHI-PROJECT-22700138
  • [Presentation] Statistical Performance of Convex Tensor Decomposition.2011

    • Author(s)
      R Tomioka, T. Suzuki, K. Hayashi, and H. Kashima
    • Organizer
      In Advances in Neural Information Processing Systems
    • Data Source
      KAKENHI-PROJECT-22700138
  • [Presentation] Discovering Emerging Topics in Social Streams via Link Anomaly Detection2011

    • Author(s)
      高橋俊充、冨岡亮太、山西健司
    • Organizer
      IEEE International Conference on Data Milling
    • Place of Presentation
      カナダ バンクーバー
    • Year and Date
      2011-12-12
    • Data Source
      KAKENHI-PROJECT-23240019
  • [Presentation] Discovering Emerging Topics in Social Streams via Link Anomaly Detection2011

    • Author(s)
      Toshimitsu Takahashi, Ryota Tomioka, and Kenji Yamanishi
    • Organizer
      IEEE International Conference on Data Mining 2011 (ICDM2011)
    • Place of Presentation
      バンクーバー・カナダ
    • Data Source
      KAKENHI-PROJECT-22700138
  • [Presentation] A fast augmented Lagrangian algorithm for learning low-rank matrices.2010

    • Author(s)
      R. Tomioka, T. Suzuki, M. Sugiyama, and H. Kashima.
    • Organizer
      In Proc. the 27th Annual International Conference on Machine Learning (ICML2010)
    • Place of Presentation
      Omnipress
    • Data Source
      KAKENHI-PROJECT-22700138
  • [Presentation] A Fast Augmented Lagrangian Algorithm for Learning Low-Rank Matrices2010

    • Author(s)
      冨岡亮太
    • Organizer
      27th Annual International Conference on Machine Learning (ICML 2010)
    • Place of Presentation
      イスラエル・ハイファ
    • Year and Date
      2010-06-22
    • Data Source
      KAKENHI-PROJECT-22700138
  • [Presentation] Early detection of persistent topics in social networks

    • Author(s)
      Shota Saito, Ryota Tomioka, and Kenji Yamanishi
    • Organizer
      2014 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining
    • Place of Presentation
      Beijin China
    • Year and Date
      2014-08-17 – 2014-08-20
    • Data Source
      KAKENHI-PROJECT-23240019
  • 1.  NISHIYAMA Yu (60586395)
    # of Collaborated Projects: 2 results
    # of Collaborated Products: 0 results
  • 2.  Yamanishi Kenji (90549180)
    # of Collaborated Projects: 1 results
    # of Collaborated Products: 7 results
  • 3.  KASHIMA Hisashi (80545583)
    # of Collaborated Projects: 1 results
    # of Collaborated Products: 0 results
  • 4.  Fukumizu Kenji (60311362)
    # of Collaborated Projects: 1 results
    # of Collaborated Products: 0 results
  • 5.  LIU Song (80760579)
    # of Collaborated Projects: 1 results
    # of Collaborated Products: 0 results
  • 6.  鈴木 大慈 (60551372)
    # of Collaborated Projects: 1 results
    # of Collaborated Products: 1 results
  • 7.  TERAZONO Yasushi
    # of Collaborated Projects: 1 results
    # of Collaborated Products: 0 results
  • 8.  SAKURAI Ei-ichi
    # of Collaborated Projects: 1 results
    # of Collaborated Products: 0 results
  • 9.  URABE Yasuhiro
    # of Collaborated Projects: 1 results
    # of Collaborated Products: 1 results
  • 10.  IWAI Hiroki
    # of Collaborated Projects: 1 results
    # of Collaborated Products: 0 results
  • 11.  TAKAHASHI Toshimitsu
    # of Collaborated Projects: 1 results
    # of Collaborated Products: 1 results
  • 12.  HIRAI So
    # of Collaborated Projects: 1 results
    # of Collaborated Products: 0 results
  • 13.  HAYASHI Yu
    # of Collaborated Projects: 1 results
    # of Collaborated Products: 0 results
  • 14.  KANAZAWA Hiroki
    # of Collaborated Projects: 1 results
    # of Collaborated Products: 0 results
  • 15.  SATO Sho-ichi
    # of Collaborated Projects: 1 results
    # of Collaborated Products: 0 results
  • 16.  SAKAI Yoshiki
    # of Collaborated Projects: 1 results
    # of Collaborated Products: 0 results
  • 17.  LIANG Zenghan
    # of Collaborated Projects: 1 results
    # of Collaborated Products: 2 results
  • 18.  OEDA Shin-ichi
    # of Collaborated Projects: 1 results
    # of Collaborated Products: 0 results
  • 19.  ASAOKA Ryo
    # of Collaborated Projects: 1 results
    # of Collaborated Products: 2 results
  • 20.  MURATA Hiroshi
    # of Collaborated Projects: 1 results
    # of Collaborated Products: 2 results
  • 21.  SAITO Shota
    # of Collaborated Projects: 1 results
    # of Collaborated Products: 3 results
  • 22.  Ito Yu
    # of Collaborated Projects: 1 results
    # of Collaborated Products: 2 results
  • 23.  MIYAGUCHI Kohei
    # of Collaborated Projects: 1 results
    # of Collaborated Products: 0 results
  • 24.  KAJIMURA Shun-suke
    # of Collaborated Projects: 1 results
    # of Collaborated Products: 0 results
  • 25.  BABA Yukino
    # of Collaborated Projects: 1 results
    # of Collaborated Products: 0 results
  • 26.  OYAMA Satohi
    # of Collaborated Projects: 1 results
    # of Collaborated Products: 0 results
  • 27.  KURIHARA Masahito
    # of Collaborated Projects: 1 results
    # of Collaborated Products: 0 results
  • 28.  WANG Jingling
    # of Collaborated Projects: 1 results
    # of Collaborated Products: 0 results

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