Yamada Makoto 山田誠

Researcher Number	00581323
Other IDs
Affiliation (Current)	2025: 沖縄科学技術大学院大学, 機械学習とデータ科学ユニット, 准教授
Affiliation (based on the past Project Information) *help	2023 – 2024: 沖縄科学技術大学院大学, 機械学習とデータ科学ユニット, 准教授 2022: 京都大学, 化学研究所, 助教 2018 – 2022: 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 Basic Section 61030:Intelligent informatics-related / Sections That Are Subject to Joint Review: Basic Section60030:Statistical science-related , Basic Section61030:Intelligent informatics-related / Basic Section 60030:Statistical science-related / Intelligent informatics Except Principal Investigator Basic Section 58080:Gerontological nursing and community health nursing-related / Medium-sized Section 60:Information science, computer engineering, and related fields / Statistical science
Keywords	Principal Investigator 特徴選択 / 機械学習 / 最適輸送 / 統計的推論 / 木構造最適輸送距離 / カーネル法 / 電子透かし / 選択的推論 / 非線形 Except Principal Investigator 臨床研究 … More / 個別化医療 / 機械学習 / 統計科学 / リアルワールドデータ / ケアプラン / 日常生活動作 / 居宅介護 / 小標本 / 予測解析 / 選択的推論 / 因果推論 / 統計数学 / 診断法開発 / 統計解析 / 臨床試験 / 薬剤反応性 / 社会医学 / データ解析 / 研究デザイン / 生物統計学 Less

高次元大規模最適輸送基盤技術の研究開発Principal Investigator
- Principal Investigator
  
  山田誠
- Project Period (FY)
  2024 – 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
  Okinawa Institute of Science and Technology Graduate University
日常生活動作の予測に基づく居宅介護ケアプランの最適化手法の確立
- Principal Investigator
  
  伊藤沙紀子
- Project Period (FY)
  2022 – 2025
- Research Category
  
  Grant-in-Aid for Scientific Research (B)
- Review Section
  
  Basic Section 58080:Gerontological nursing and community health nursing-related
- Research Institution
  Tokyo Medical and Dental University
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
  
  Yamada Makoto
- Project Period (FY)
  2020 – 2023
- Research Category
  
  Grant-in-Aid for Scientific Research (B)
- Review Section
  
  Basic Section 61030:Intelligent informatics-related
- Research Institution
  Okinawa Institute of Science and Technology Graduate University
  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
Comprehensive research on statistical methodologies and their applications for development of personalized medicine
- Principal Investigator
  
  Matsui Shigeyuki
- Project Period (FY)
  2016 – 2020
- Research Category
  
  Grant-in-Aid for Scientific Research (S)
- Research Field
  
  Statistical science
- Research Institution
  Nagoya University

All 2023 2022 2021 2020 2019 2018 2017 2016

All Journal Article Presentation

[Journal Article] High-Dimensional Nonlinear Feature Selection with Hilbert-Schmidt Independence Criterion Lasso2023
- Author(s)
  山田誠, Poignard Benjamin, 山田宏暁, Freidling Tobias
- Journal Title
  
  Journal of the Japan Statistical Society, Japanese Issue
  
  Volume: 53 Issue: 1 Pages: 49-67
- DOI
  10.11329/jjssj.53.49
- ISSN
  0389-5602, 2189-1478
- Year and Date
  2023-09-07
- Language
  Japanese
- Peer Reviewed / Open Access / Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-21H04874, KAKENHI-PROJECT-20H04243
[Journal Article] Robust Graph Dictionary Learning2023
- Author(s)
  Weijie Liu, Jiahao Xie, Chao Zhang, Makoto Yamada, Nenggan Zheng, Hui Qian
- Journal Title
  
  International Conference on Learning Representations
  
  Volume: n/a
- Peer Reviewed / Open Access / Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-20H04243
[Journal Article] A linear time approximation of Wasserstein distance with word embedding selection2023
- Author(s)
  Sho Otao, Makoto Yamada
- Journal Title
  
  Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing
  
  Volume: - Pages: 15121-15134
- DOI
  10.18653/v1/2023.emnlp-main.935
- Peer Reviewed / Open Access
- Data Source
  KAKENHI-PROJECT-21H04874
[Journal Article] Large-scale similarity search with Optimal Transport2023
- Author(s)
  Clea Laouar, Yuki Takezawa, Makoto Yamada
- Journal Title
  
  Empirical Methods in Natural Language Processing (EMNLP)
  
  Volume: n/a Pages: 11920-11930
- Peer Reviewed / Open Access
- Data Source
  KAKENHI-PROJECT-20H04243
[Journal Article] Nystrom Method for Accurate and Scalable Implicit Differentiation2023
- Author(s)
  Ryuichiro Hataya, Makoto Yamada
- Journal Title
  
  International Conference on Artificial Intelligence and Statistics
  
  Volume: 206 Pages: 4643-4654
- Peer Reviewed / Open Access
- Data Source
  KAKENHI-PROJECT-20H04243
[Journal Article] Fixed Support Tree-Sliced Wasserstein Barycenter2022
- Author(s)
  Yuki Takezawa, Ryoma Sato, Zornitsa Kozareva, Sujith Ravi, Makoto Yamada
- Journal Title
  
  International Conference on Artificial Intelligence and Statistics (AISTATS)
  
  Volume: -
- Peer Reviewed / Open Access / Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-20H04243
[Journal Article] Feature Screening with Kernel Knockoff2022
- Author(s)
  Benjamin Poignard, Peter Naylor, Hector Climente, Makoto Yamada
- Journal Title
  
  International Conference on Artificial Intelligence and Statistics (AISTATS)
  
  Volume: -
- Peer Reviewed / Open Access
- Data Source
  KAKENHI-PROJECT-20H04243
[Journal Article] Approximating 1-Wasserstein Distance with Trees.2022
- Author(s)
  Makoto Yamada, Yuki Takezawa, Ryoma Sato, Han Bao, Zornitsa Kozareva, Sujith Ravi
- Journal Title
  
  Transactions on Machine Learning Research
  
  Volume: 0 Pages: 0-0
- Peer Reviewed / Open Access / Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-20H04243
[Journal Article] Post-selection inference with HSIC-Lasso2021
- Author(s)
  Tobias Freidling, Benjamin Poignard, Hector Climente-Gonzalez, Makoto Yamada
- Journal Title
  
  International Conference on Machine Learning (ICML)
  
  Volume: - Pages: 3439-3448
- Peer Reviewed / Open Access / Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-20H04243
[Journal Article] Flow-based Alignment Approaches for Probability Measures in Different Spaces2021
- Author(s)
  Tam Le, Nhat Ho, Makoto Yamada
- Journal Title
  
  International Conference on Artificial Intelligence and Statistics (AISTATS)
  
  Volume: - Pages: 3934-3942
- Peer Reviewed / Open Access / Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-20H04243
[Journal Article] Supervised Tree-Wasserstein Distance2021
- Author(s)
  Yuki Takezawa, Ryoma Sato, Makoto Yamada
- Journal Title
  
  International Conference on Machine Learning (ICML)
  
  Volume: - Pages: 10086-10095
- Peer Reviewed / Open Access
- Data Source
  KAKENHI-PROJECT-20H04243
[Journal Article] LSMI-Sinkhorn: Semi-supervised Mutual Information Estimation with Optimal Transport2021
- Author(s)
  Yanbin Liu, Makoto Yamada, Yao-Hung Hubert Tsai, Tam Le, Ruslan Salakhutdinov, Yi Yang
- Journal Title
  
  European Conference on Machine Learning (ECML)
  
  Volume: - Pages: 655-670
- Peer Reviewed / Open Access / Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-20H04243
[Journal Article] Random Features Strengthen Graph Neural Networks2021
- Author(s)
  Ryoma Sato, Makoto Yamada, Hisashi Kashima
- Journal Title
  
  SIAM data mining (SDM)
  
  Volume: - Pages: 333-341
- Peer Reviewed / Open Access
- Data Source
  KAKENHI-PROJECT-20H04243
[Journal Article] Dynamic Sasvi: Strong Safe Screening for Norm-Regularized Least Squares2021
- Author(s)
  Hiroaki Yamada, Makoto Yamada
- Journal Title
  
  NeurIPS
  
  Volume: -
- Peer Reviewed / Open Access
- Data Source
  KAKENHI-PROJECT-20H04243
[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 Issue: 14 Pages: i427-i435
- 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 reror control2019
- Author(s)
  Park H, Yamada M, Imoto S, Miyano S
- Journal Title
  
  J Comput Biol
  
  Volume: 26(3) Issue: 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 Issue: 7 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 Issue: 2 Pages: 1-24
- DOI
  10.1145/2994605
- Peer Reviewed / Acknowledgement Compliant / Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-16K16114
[Presentation] Feature-Robust Optimal Transport for High-Dimensional Data.2022
- Author(s)
  Mathis Petrovich, Chao Liang, Ryoma Sato, Yanbin Liu, Yao-Hung Hubert Tsai, Linchao Zhu, Yi Yang, Ruslan Salakhutdinov, Makoto Yamada
- Organizer
  ECML 2022
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-20H04243
[Presentation] Fixed Support Tree-Sliced Wasserstein Barycenter2022
- Author(s)
  Yuki Takezawa, Ryoma Sato, Zornitsa Kozareva, Sujith Ravi, Makoto Yamada
- Organizer
  AISTATS 2022
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-20H04243
[Presentation] Feature screening with kernel knockoffs2022
- Author(s)
  Benjamin Poignard, Peter J. Naylor, Hector Climente-Gonzalez, Makoto Yamada
- Organizer
  AISTATS 2022
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-20H04243
[Presentation] Feature screening with kernel knockoffs2022
- Author(s)
  Benjamin Poignard Peter J Naylor, Hector Climente Gonzarez, Makoto Yamada.
- Organizer
  AISTATS2022
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-21H04874
[Presentation] Re-evaluating Word Mover’s Distance2022
- Author(s)
  Ryoma Sato, Makoto Yamada, Hisashi Kashima
- Organizer
  ICML 2022
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-20H04243
[Presentation] Post-selection inference with HSIC-Lasso2021
- Author(s)
  Tobias Freidling, Benjamin Poignard, Hector Climente-Gonzalez, Makoto Yamada.
- Organizer
  ICML 2021
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-21H04874
[Presentation] Adversarial regression with doubly non-negative weighting matrices2021
- Author(s)
  Tam Le Truyen Nguyen, Makoto Yamada, Jose Blanchet, Viet Anh Nguyen
- Organizer
  NeurIPS2021
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-21H04874
[Presentation] Strong safe screening for norm-regularized least squares2021
- Author(s)
  Hiroaki Yamada, Makoto Yamada. Dynamic Sasvi
- Organizer
  NeurIPS 2021
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-21H04874
[Presentation] LSMI-SInkhorn: Semi-supervised mutual information estimation with optimal transport2021
- Author(s)
  Yanbin Liu, Makoto Yamada, Yao-Hung Hubert Tsai, Tam Le, Ruslan Salakhutdinov, Yi Yang
- Organizer
  ECML2021
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-21H04874
[Presentation] Sparse Hilbert-Schmidt independence criterion regression2020
- Author(s)
  Benjamin Poignard, Makoto Yamada
- Organizer
  AISTAT2020 International Conference on Artificial Intelligence and Statistics
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-16H06299
[Presentation] More powerful selective kernel tests for feature selection2020
- Author(s)
  Jen Ning Lim, Makoto Yamada, Wittawat Jitkrittum, Yoshikazu Terada, Shigeyuki Matsui, Hidetoshi Shimodaira
- Organizer
  AISTAT2020 International Conference on Artificial Intelligence and Statistics
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-16H06299
[Presentation] Unsupervised nonlinear feature selection from high-dimensional signed networks2020
- Author(s)
  Qiang Huang, Tingyu Xia, Huiyan Sun, Makoto Yamada, Y. Chang
- Organizer
  34th AAAI Conference on Artificial Intelligence
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-16H06299
[Presentation] Topological Bayesian optimization with persistence diagrams2020
- Author(s)
  Tatsuya Shiraishi, Tam Le, Hisashi Kashima, Makoto Yamada
- Organizer
  ECAI 2020 24th European Conference on Artificial Intelligence
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-16H06299
[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] 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] 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] 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] 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] 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] 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] 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] 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. Matsui Shigeyuki (80305854)

# of Collaborated Projects: 2 results

# of Collaborated Products: 2 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. 下平英寿 (00290867)

# of Collaborated Projects: 1 results

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

# of Collaborated Projects: 1 results

# of Collaborated Products: 3 results
7. 星野崇宏 (20390586)

# of Collaborated Projects: 1 results

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

# of Collaborated Projects: 1 results

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

# of Collaborated Projects: 1 results

# of Collaborated Products: 0 results
10. 包含 (20831340)

# of Collaborated Projects: 1 results

# of Collaborated Products: 0 results
11. 伊藤沙紀子 (80734152)

# of Collaborated Projects: 1 results

# of Collaborated Products: 0 results
12. 土屋瑠見子 (20726525)

# of Collaborated Projects: 1 results

# of Collaborated Products: 0 results
13. 尾形宗士郎 (00805012)

# of Collaborated Projects: 1 results

# of Collaborated Products: 0 results
14. 福井小紀子 (40336532)

# of Collaborated Projects: 1 results

# of Collaborated Products: 0 results
15. 石山麗子 (80826454)

# of Collaborated Projects: 1 results

# of Collaborated Products: 0 results
16. 井元清哉

# of Collaborated Projects: 0 results

# of Collaborated Products: 1 results
17. PARK HEEWON

# of Collaborated Projects: 0 results

# of Collaborated Products: 1 results
18. 宮野悟

# of Collaborated Projects: 0 results

# of Collaborated Products: 1 results

Yamada Makoto 山田 誠

Research Projects

Research Products

Co-Researchers

高次元大規模最適輸送基盤技術の研究開発Principal Investigator

Principal Investigator

Project Period (FY)

Research Category

Review Section

Research Institution

日常生活動作の予測に基づく居宅介護ケアプランの最適化手法の確立

Principal Investigator

Project Period (FY)

Research Category

Review Section

Research Institution

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

Comprehensive research on statistical methodologies and their applications for development of personalized medicine

Principal Investigator

Project Period (FY)

Research Category

Research Field

Research Institution

[Journal Article] High-Dimensional Nonlinear Feature Selection with Hilbert-Schmidt Independence Criterion Lasso2023

Author(s)

Journal Title

DOI

ISSN

Year and Date

Language

Data Source

[Journal Article] Robust Graph Dictionary Learning2023

Author(s)

Journal Title

Data Source

[Journal Article] A linear time approximation of Wasserstein distance with word embedding selection2023

Author(s)

Journal Title

DOI

Data Source

[Journal Article] Large-scale similarity search with Optimal Transport2023

Author(s)

Journal Title

Data Source

[Journal Article] Nystrom Method for Accurate and Scalable Implicit Differentiation2023

Author(s)

Journal Title

Data Source

[Journal Article] Fixed Support Tree-Sliced Wasserstein Barycenter2022

Author(s)

Journal Title

Data Source

[Journal Article] Feature Screening with Kernel Knockoff2022

Author(s)

Journal Title

Data Source

[Journal Article] Approximating 1-Wasserstein Distance with Trees.2022

Author(s)

Journal Title

Data Source

[Journal Article] Post-selection inference with HSIC-Lasso2021

Author(s)

Journal Title

Yamada Makoto 山田誠