Yamada Makoto 山田誠

Researcher Number	00581323
Other IDs
Affiliation (Current)	2022: 国立研究開発法人理化学研究所, 革新知能統合研究センター, チームリーダー 2022: 京都大学, 情報学研究科, 准教授
Affiliation (based on the past Project Information) *help	2018 – 2021: 京都大学, 情報学研究科, 准教授 2017: 国立研究開発法人理化学研究所, 革新知能統合研究センター, ユニットリーダー 2016: 京都大学, 化学研究所, 助教
Review Section/Research Field	Principal Investigator Intelligent informatics / Basic Section 61030:Intelligent informatics-related Except Principal Investigator Statistical science / Medium-sized Section 60:Information science, computer engineering, and related fields
Keywords	Principal Investigator 特徴選択 / 機械学習 / 非線形 / 選択的推論 / カーネル法 / 統計的推論 Except Principal Investigator 個別化医療 / 統計科学 / 社会医学 / 薬剤反応性 … More

個別化医療の適応的臨床研究を支える統計・機械学習法に関する研究
- Principal Investigator
  
  松井茂之
- Project Period (FY)
  2021 – 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
  Nagoya University
Research and development of nonlinear Selective Inference for high-dimensional and small number of samples dataPrincipal Investigator
- Principal Investigator
  
  山田誠
- Project Period (FY)
  2020 – 2023
- Research Category
  
  Grant-in-Aid for Scientific Research (B)
- Review Section
  
  Basic Section 61030:Intelligent informatics-related
- Research Institution
  Kyoto University
Developing Nonlinear Feature Selection Algorithm for Ultra High-Dimensional DataPrincipal Investigator
- Principal Investigator
  
  Yamada Makoto
- Project Period (FY)
  2016 – 2017
- Research Category
  
  Grant-in-Aid for Young Scientists (B)
- Research Field
  
  Intelligent informatics
- Research Institution
  Institute of Physical and Chemical Research
  Kyoto University
個別化医療の開発のための統計的方法論の構築とその実践に関する総合的研究
- Principal Investigator
  
  松井茂之
- Project Period (FY)
  2016 – 2020
- Research Category
  
  Grant-in-Aid for Scientific Research (S)
- Research Field
  
  Statistical science
- Research Institution
  Nagoya University

All 2020 2019 2018 2017 2016

All Journal Article Presentation

[Journal Article] Block HSIC Lasso: model-free biomarker detection for ultra-high dimensional data2019
- Author(s)
  Climente-Gonzlez Hctor、Azencott Chlo-Agathe、Kaski Samuel、Yamada Makoto
- Journal Title
  
  Bioinformatics
  
  Volume: 35
- DOI
  10.1093/bioinformatics/btz333
- Peer Reviewed / Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-16H06299
[Journal Article] Robust Sample-Specific Stability Selection with Effective Error Control2019
- Author(s)
  Park H, Yamada M, Imoto S, Miyano S
- Journal Title
  
  Journal of Computational Biology
  
  Volume: 26(3) Pages: 202-217
- DOI
  10.1089/cmb.2018.0180
- Peer Reviewed / Open Access / Int'l Joint Research
- Data Source
  KAKENHI-PLANNED-15H05912, KAKENHI-PROJECT-16H06299
[Journal Article] Ultra High-Dimensional Nonlinear Feature Selection for Big Biological Data2018
- Author(s)
  Yamada Makoto、Tang Jiliang、Lugo-Martinez Jose、Hodzic Ermin、Shrestha Raunak、Ouyang Hua、Radivojac Predrag、Sahinalp Cenk、Menczer Filippo、Chang Yi、Saha Avishek、Mamitsuka Hiroshi、Yin Dawei
- Journal Title
  
  IEEE Transactions on Knowledge and Data Engineering
  
  Volume: n/a Pages: 1-1
- DOI
  10.1109/tkde.2018.2789451
- Peer Reviewed / Open Access / Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-16K16114, KAKENHI-PROJECT-16H02868
[Journal Article] Lifecycle Modeling for Buzz Temporal Pattern Discovery2016
- Author(s)
  Yi Chang, Makoto Yamada, Antonio Ortega
- Journal Title
  
  ACM Transactions on Knowledge Discovery from Data (TKDD)
  
  Volume: 11
- DOI
  10.1145/2994605
- Peer Reviewed / Acknowledgement Compliant / Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-16K16114
[Presentation] Unsupervised Nonlinear Feature Selection from High-dimensional Signed Networks.2020
- Author(s)
  Qiang Huang, Tingyu Xia, Huiyan Sun, Makoto Yamada, Y. Chang
- Organizer
  34th AAAI Conference on Artificial Intelligence (AAAI)
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-16H06299
[Presentation] Learning to Sample Hard Instances for Graph Algorithms.2019
- Author(s)
  Ryoma Sato, Makoto Yamada, Hisashi Kashima
- Organizer
  ACML 2019
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-16H06299
[Presentation] Factorization Machinesを用いたCoxハザードモデル.2019
- Author(s)
  佐竹哉太, 山田誠, 松井孝太, 松井茂之, 鹿島久嗣
- Organizer
  2019年度人工知能学会全国大会（第33回）.
- Data Source
  KAKENHI-PROJECT-16H06299
[Presentation] Kernel Stein Tests for Multiple Model Comparison.2019
- Author(s)
  Jen Ning Lim, Makoto Yamada, Bernhard Schölkopf, Wittawat Jitkrittum
- Organizer
  NeurIPS 2019
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-16H06299
[Presentation] Approximation Ratios of Graph Neural Networks for Combinatorial Problems2019
- Author(s)
  Ryoma Sato, Makoto Yamada, Hisashi Kashima
- Organizer
  NeurIPS 2019
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-16H06299
[Presentation] Post Selection Inference with Incomplete Maximum Mean Discrepancy Estimator.2019
- Author(s)
  Makoto Yamada, Denny Wu, Yao-Hung Hubert Tsai, Hirofumi Ohta, Ruslan Salakhutdinov, Ichiro Takeuchi, Kenji Fukumizu
- Organizer
  ICLR 2019
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-16H06299
[Presentation] Convex Factorization Machine for Toxicogenomics Prediction2017
- Author(s)
  Yamada Makoto、Lian Wenzhao、Goyal Amit、Chen Jianhui、Wimalawarne Kishan、Khan Suleiman A.、Kaski Samuel、Mamitsuka Hiroshi、Chang Yi
- Organizer
  Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-16K16114
[Presentation] Localized Lasso for High-Dimensional Regression2017
- Author(s)
  Yamada Makoto、Takeuchi Koh、Iwata Tomoharu、Taylor John-Shawe、Kaski　Samuel
- Organizer
  AISTATS 2017
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-16K16114
[Presentation] A Robust Convex Formulation for Ensemble Clustering2016
- Author(s)
  Junning Gao, Makoto Yamada, Samuel Kaski, Hiroshi Mamitsuka, Shanfeng Zhu
- Organizer
  The Twenty-Fifth International Joint Conference on Artificial Intelligence (IJCAI-16)
- Place of Presentation
  New York USA
- Year and Date
  2016-07-09
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-16K16114
[Presentation] Multi-view Anomaly Detection via Robust Probabilistic Latent Variable Models2016
- Author(s)
  Tomoharu Iwata, Makoto Yamada
- Organizer
  Neural Information Processing Systems (NIPS 2016)
- Place of Presentation
  Barcelona Spain
- Year and Date
  2016-12-05
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-16K16114
[Presentation] Which Tumblr Post Should I read Next?2016
- Author(s)
  Zornitsa Kozareva, Makoto Yamada
- Organizer
  the annual meeting of the Association for Computational Linguistics (ACL)
- Place of Presentation
  Berlin Germany
- Year and Date
  2016-08-07
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-16K16114
[Presentation] Timeline Summarization from Social Media with Life Cycle Models2016
- Author(s)
  Yi Chang, Jiliang Tang, Dawei Yin, Makoto Yamada, Yan Liu
- Organizer
  The Twenty-Fifth International Joint Conference on Artificial Intelligence (IJCAI-16)
- Place of Presentation
  New York USA
- Year and Date
  2016-07-09
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-16K16114

1. 松井茂之 (80305854)

# of Collaborated Projects: 2 results

# of Collaborated Products: 1 results
2. 角田達彦 (10273468)

# of Collaborated Projects: 1 results

# of Collaborated Products: 0 results
3. 山下智志 (50244108)

# of Collaborated Projects: 1 results

# of Collaborated Products: 0 results
4. 服部聡 (50425154)

# of Collaborated Projects: 1 results

# of Collaborated Products: 0 results
5. 星野崇宏 (20390586)

# of Collaborated Projects: 1 results

# of Collaborated Products: 0 results
6. 三分一史和 (30360647)

# of Collaborated Projects: 1 results

# of Collaborated Products: 0 results
7. 小森理 (60586379)

# of Collaborated Projects: 1 results

# of Collaborated Products: 0 results
8. 下平英寿 (00290867)

# of Collaborated Projects: 1 results

# of Collaborated Products: 0 results
9. POIGNARD BENJAMIN (40845252)

# of Collaborated Projects: 1 results

# of Collaborated Products: 0 results
10. 馬見塚拓

# of Collaborated Projects: 0 results

# of Collaborated Products: 1 results
11. 井元清哉

# of Collaborated Projects: 0 results

# of Collaborated Products: 1 results
12. PARK HEEWON

# of Collaborated Projects: 0 results

# of Collaborated Products: 1 results
13. 宮野悟

# of Collaborated Projects: 0 results

# of Collaborated Products: 1 results

Yamada Makoto 山田 誠

Research Projects

Research Products

Co-Researchers

個別化医療の適応的臨床研究を支える統計・機械学習法に関する研究

Principal Investigator

Project Period (FY)

Research Category

Review Section

Research Institution

Research and development of nonlinear Selective Inference for high-dimensional and small number of samples dataPrincipal Investigator

Principal Investigator

Project Period (FY)

Research Category

Review Section

Research Institution

Developing Nonlinear Feature Selection Algorithm for Ultra High-Dimensional DataPrincipal Investigator

Principal Investigator

Project Period (FY)

Research Category

Research Field

Research Institution

個別化医療の開発のための統計的方法論の構築とその実践に関する総合的研究

Principal Investigator

Project Period (FY)

Research Category

Research Field

Research Institution

[Journal Article] Block HSIC Lasso: model-free biomarker detection for ultra-high dimensional data2019

Author(s)

Journal Title

DOI

Data Source

[Journal Article] Robust Sample-Specific Stability Selection with Effective Error Control2019

Author(s)

Journal Title

DOI

Data Source

[Journal Article] Ultra High-Dimensional Nonlinear Feature Selection for Big Biological Data2018

Author(s)

Journal Title

DOI

Data Source

[Journal Article] Lifecycle Modeling for Buzz Temporal Pattern Discovery2016

Author(s)

Journal Title

DOI

Data Source

[Presentation] Unsupervised Nonlinear Feature Selection from High-dimensional Signed Networks.2020

Author(s)

Organizer

Data Source

[Presentation] Learning to Sample Hard Instances for Graph Algorithms.2019

Author(s)

Organizer

Data Source

[Presentation] Factorization Machinesを用いたCoxハザードモデル.2019

Author(s)

Organizer

Data Source

[Presentation] Kernel Stein Tests for Multiple Model Comparison.2019

Author(s)

Organizer

Data Source

[Presentation] Approximation Ratios of Graph Neural Networks for Combinatorial Problems2019

Author(s)

Organizer

Data Source

[Presentation] Post Selection Inference with Incomplete Maximum Mean Discrepancy Estimator.2019

Author(s)

Organizer

Data Source

[Presentation] Convex Factorization Machine for Toxicogenomics Prediction2017

Author(s)

Organizer

Data Source

[Presentation] Localized Lasso for High-Dimensional Regression2017

Author(s)

Organizer

Data Source

Yamada Makoto 山田誠