HAYASHI Kohei 林浩平

Researcher Number	30705059
Other IDs
Affiliation (based on the past Project Information) *help	2016: 国立研究開発法人産業技術総合研究所, 人工知能研究センター, 研究員 2013 – 2015: 国立情報学研究所, ビッグデータ数理国際研究センター, 特任助教
Review Section/Research Field	Principal Investigator Intelligent informatics
Keywords	Principal Investigator テンソル分解 / 非負行列分解 / Twitter / トピック抽出 / ストリーミング処理 / 確率勾配法 / 関係データ解析 / ソーシャルネットワーク解析 / トピックモデル / モデル選択 … More / ベイズ学習 / アルゴリズム / 機械学習 / ベイズ推論 Less

Fully automatic and scalable Bayesian model selection method for tensor decompositionPrincipal Investigator
- Principal Investigator
  
  Hayashi Kohei
- Project Period (FY)
  2015 – 2016
- Research Category
  
  Grant-in-Aid for Young Scientists (B)
- Research Field
  
  Intelligent informatics
- Research Institution
  National Institute of Advanced Industrial Science and Technology
  National Institute of Informatics
Large-scale tensor decomposition for high-level information processingPrincipal Investigator
- Principal Investigator
  
  HAYASHI Kohei
- Project Period (FY)
  2013 – 2014
- Research Category
  
  Grant-in-Aid for Research Activity Start-up
- Research Field
  
  Intelligent informatics
- Research Institution
  National Institute of Informatics

All 2017 2016 2015

All Journal Article Presentation Book

[Book] 関係データ学習 (機械学習プロフェッショナルシリーズ)2016
- Author(s)
  石黒勝彦, 林浩平
- Total Pages
  192
- Publisher
  講談社
- Data Source
  KAKENHI-PROJECT-15K16055
[Journal Article] Sparse Bayesian linear regression with latent masking variables2017
- Author(s)
  Yohei Kondo, Kohei Hayashi, and Shin-ichi Maeda
- Journal Title
  
  Neurocomputing
  
  Volume: 印刷中
- DOI
  10.1016/j.neucom.2016.12.080
- Peer Reviewed / Acknowledgement Compliant
- Data Source
  KAKENHI-PROJECT-15K15210, KAKENHI-PROJECT-15K16055
[Journal Article] Doubly Decomposing Nonparametric Tensor Regression2016
- Author(s)
  Masaaki Imaizumi, Kohei Hayashi
- Journal Title
  
  ICML proceedings
  
  Volume: -
- Peer Reviewed / Acknowledgement Compliant / Open Access
- Data Source
  KAKENHI-PROJECT-15K16055
[Journal Article] Identifying Key Observers to Find Popular Information in Advance2016
- Author(s)
  Takuya Konishi, Tomoharu Iwata, Kohei Hayashi, Ken-ichi Kawarabayashi
- Journal Title
  
  IJCAI proceedings
  
  Volume: -
- Peer Reviewed / Acknowledgement Compliant / Open Access
- Data Source
  KAKENHI-PROJECT-15K16055
[Journal Article] Minimizing Quadratic Functions in Constant Time2016
- Author(s)
  Kohei Hayashi, Yuichi Yoshida
- Journal Title
  
  NIPS proceedings
  
  Volume: -
- Peer Reviewed / Acknowledgement Compliant / Open Access
- Data Source
  KAKENHI-PROJECT-15K16055
[Journal Article] Real-time Top-R Topic Detection on Twitter with Topic Hijack Filtering2015
- Author(s)
  Kohei Hayashi, Takanori Maehara, Masashi Toyoda, Ken-ichi Kawarabayashi
- Journal Title
  
  ACM SIGKDD Conference on Knowledge Discovery and Data Mining 2015
  
  Volume: -
- Peer Reviewed / Acknowledgement Compliant
- Data Source
  KAKENHI-PROJECT-25880028
[Presentation] Real-time Top-R Topic Detection on Twitter with Topic Hijack Filtering2015
- Author(s)
  Kohei Hayashi
- Organizer
  KDD 2015
- Place of Presentation
  オーストラリア，シドニー
- Year and Date
  2015-08-10
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-15K16055
[Presentation] Rebuilding Factorized Information Criterion: Asymptotically Accurate Marginal Likelihood2015
- Author(s)
  Kohei Hayashi
- Organizer
  ICML 2015
- Place of Presentation
  フランス，リリー
- Year and Date
  2015-07-06
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-15K16055

1. MAEDA Shinichi

# of Collaborated Projects: 0 results

# of Collaborated Products: 1 results

HAYASHI Kohei 林 浩平

Research Projects

Research Products

Co-Researchers

Fully automatic and scalable Bayesian model selection method for tensor decompositionPrincipal Investigator

Principal Investigator

Project Period (FY)

Research Category

Research Field

Research Institution

Large-scale tensor decomposition for high-level information processingPrincipal Investigator

Principal Investigator

Project Period (FY)

Research Category

Research Field

Research Institution

[Book] 関係データ学習 (機械学習プロフェッショナルシリーズ)2016

Author(s)

Total Pages

Publisher

Data Source

[Journal Article] Sparse Bayesian linear regression with latent masking variables2017

Author(s)

Journal Title

DOI

Data Source

[Journal Article] Doubly Decomposing Nonparametric Tensor Regression2016

Author(s)

Journal Title

Data Source

[Journal Article] Identifying Key Observers to Find Popular Information in Advance2016

Author(s)

Journal Title

Data Source

[Journal Article] Minimizing Quadratic Functions in Constant Time2016

Author(s)

Journal Title

Data Source

[Journal Article] Real-time Top-R Topic Detection on Twitter with Topic Hijack Filtering2015

Author(s)

Journal Title

Data Source

[Presentation] Real-time Top-R Topic Detection on Twitter with Topic Hijack Filtering2015

Author(s)

Organizer

Place of Presentation

Year and Date

Data Source

[Presentation] Rebuilding Factorized Information Criterion: Asymptotically Accurate Marginal Likelihood2015

Author(s)

Organizer

Place of Presentation

Year and Date

Data Source

HAYASHI Kohei 林浩平