Le Tam (Tam Le) - マイポータル

基本情報

所属: 統計数理研究所先端データサイエンス研究系助教

学位: Ph.D. [Informatics](2016年1月京都大学)

連絡先: tamism.ac.jp
研究者番号: 00793100
J-GLOBAL ID: 202201004096558267
researchmap会員ID: R000042351

外部リンク: https://tamle-ml.github.io/

+ Personal homepage: https://tamle-ml.github.io/ (for latest update)

+ Personal Google scholar: https://scholar.google.com/citations?user=ZyrRB_8AAAAJ&hl=en (for full publication)

研究キーワード

研究分野

情報通信 / 知能情報学 / machine learning, optimal transport

経歴

2022年9月 - 現在

統計数理研究所, Assistant Professor
2022年12月 - 2026年3月

RIKEN AIP, Visiting Scientist
2021年8月 - 2022年8月

RIKEN AIP, Research Scientist
2017年9月 - 2021年7月

RIKEN AIP, Researcher
2016年2月 - 2017年8月

Nagoya Institute of Technology & National Institute for Materials Science, Postdoc
2016年1月

名古屋工業大学
2015年10月 - 2015年12月

京都大学
2008年10月 - 2012年9月

Vietnam National University - HCMC

学歴

2012年10月 - 2015年9月

京都大学, 大学院情報学研究科
2008年9月 - 2011年5月

Vietnam National University - HCMC, M.Sc. (Computer Science)
2004年9月 - 2008年9月

Vietnam National University - HCMC, B.Sc. (Computer Science) [the honor program]

主要な委員歴

2025年 - 現在

Journal of Machine Learning Research (JMLR), Editorial board reviewer
2025年 - 2026年

AAAI Conference on Artificial Intelligence (AAAI), Senior Program Committee
2024年 - 2026年

International Conference on Machine Learning (ICML), Area Chair
2024年 - 2026年

International Conference on Learning Representations (ICLR), Area Chair
2024年 - 2026年

International Conference on Artificial Intelligence and Statistics (AISTATS), Area Chair
2019年 - 2025年

Neural Information Processing Systems (NeurIPS/NIPS), Program Committee
2022年 - 2024年

Machine Learning Journal (MLJ), Meta-reviewer
2022年 - 2024年

Asian Conference on Machine Learning (ACML), Area Chair
2023年

Journal of Machine Learning Research (JMLR), Journal reviewer
2021年 - 2022年

Transactions on Pattern Analysis and Machine Intelligence (PAMI), Journal reviewer
2021年 - 2022年

International Joint Conference on Artificial Intelligence (IJCAI), Senior Program Committee
2020年 - 2021年

Journal of Machine Learning Research (JMLR), Journal reviewer
2021年

Conference on Computer Vision and Pattern Recognition (CVPR), Program Committee
2015年

Machine Learning Summer School (MLSS), Kyoto, Japan, Member of Organizing Team
2012年

Machine Learning Summer School (MLSS), Kyoto, Japan, Member of Organizing Team

もっとみる

受賞

主要な論文

Tree Structure for the Categorical Wasserstein Weisfeiler-Lehman Graph Kernel

Keishi Sando, Tam Le, Hideitsu Hino

Transactions on Machine Learning Research (TMLR) 2025年査読有り
Tree-Sliced Entropy Partial Transport

Viet-Hoang Tran, Thanh Tran, Thanh Chu, Tam Le**, Tan M. Nguyen** (**: co-last authors)

Advances in Neural Information Processing Systems (NeurIPS) 2025年査読有り最終著者責任著者
Tree-Sliced Wasserstein Distance with Nonlinear Projection

Thanh Tran*, Viet-Hoang Tran*, Thanh Chu, Trang Pham, Laurent Ghaoui**, Tam Le**, Tan M. Nguyen** (*: equal contribution, **: co-last authors)

International Conference on Machine Learning (ICML) 2025年査読有り最終著者責任著者
An Efficient Orlicz-Sobolev Approach for Transporting Unbalanced Measures on a Graph

Tam Le*, Truyen Nguyen*, Hideitsu Hino, Kenji Fukumizu (*: equal contribution)

Advances in Neural Information Processing Systems (NeurIPS) [Spotlight : Top 3%] 2025年査読有り筆頭著者責任著者
Scalable Sobolev IPM for Probability Measures on a Graph

Tam Le*, Truyen Nguyen*, Hideitsu Hino, Kenji Fukumizu (*: equal contribution)

International Conference on Machine Learning (ICML) 2025年査読有り筆頭著者責任著者
Spherical Tree-Sliced Wasserstein Distance

Viet-Hoang Tran*, Thanh Chu*, Khoi Nguyen, Trang Pham, Tam Le**, Tan M. Nguyen** (*: equal contribution, **: co-last authors)

International Conference on Learning Representation (ICLR) 2025年査読有り最終著者責任著者
Distance-Based Tree-Sliced Wasserstein Distance

Viet-Hoang Tran*, Khoi Nguyen*, Trang Pham, Thanh Chu, Tam Le**, Tan M. Nguyen** (*: equal contribution, **: co-last authors)

International Conference on Learning Representation (ICLR) 2025年査読有り最終著者責任著者
Tree-Sliced Wasserstein Distance on a System of Lines

Viet-Hoang Tran*, Trang Pham*, Tho Tran, Khoi Nguyen, Thanh Chu, Tam Le**, Tan M. Nguyen** (**: co-last authors)

International Conference on Machine Learning (ICML) 2025年査読有り最終著者責任著者
SAVA: Scalable Learning-Agnostic Data Valuation

Samuel Kessler*, Tam Le*, Vu Nguyen (*:equal contribution)

International Conference on Learning Representation (ICLR) 2025年査読有り筆頭著者責任著者
Few-Shot Object Detection via Synthetic Features with Optimal Transport

Anh Khoa Nguyen Vu, Thanh-Toan Do, Vinh-Tiep Nguyen, Tam Le, Minh-Triet Tran, Tam V. Nguyen

Computer Vision and Image Understanding (CVIU) journal 2025年査読有り
Generalized Sobolev Transport for Probability Measures on a Graph

Tam Le*, Truyen Nguyen*, Kenji Fukumizu (*: equal contribution)

International Conference on Machine Learning (ICML) 2024年査読有り筆頭著者責任著者
Sliced Wasserstein with Random-Path Projecting Directions

Khai Nguyen, Shujian Zhang, Tam Le, Nhat Ho

International Conference on Machine Learning (ICML) 2024年査読有り
Optimal Transport for Measures with Noisy Tree Metric

2024年査読有り筆頭著者責任著者
Scalable Unbalanced Sobolev Transport for Measures on a Graph

Tam Le*, Truyen Nguyen*, Kenji Fukumizu (*:equal contribution)

International Conference on Artificial Intelligence and Statistics (AISTATS) 2023年査読有り筆頭著者責任著者
Sobolev Transport: A Scalable Metric for Probability Measures with Graph Metrics

Tam Le*, Truyen Nguyen*, Dinh Phung, Viet Anh Nguyen (*: equal contribution)

International Conference on Artificial Intelligence and Statistics (AISTATS) 2022年査読有り筆頭著者責任著者
Point-set Distances for Learning Representations of 3D Point Clouds

Trung Nguyen, Quang-Hieu Pham, Tam Le, Tung Pham, Nhat Ho, Binh-Son Hua

International Conference on Computer Vision (ICCV) 2021年査読有り
Flow-based Alignment Approaches for Probability Measures in Different Spaces

Tam Le*, Nhat Ho*, Makoto Yamada (*: equal contribution)

International Conference on Artificial Intelligence and Statistics (AISTATS) 2021年査読有り筆頭著者責任著者
Entropy Partial Transport with Tree Metrics: Theory and Practice

Tam Le*, Truyen Nguyen* (*: equal contribution)

International Conference on Artificial Intelligence and Statistics (AISTATS) [Oral : Top 3%] 2021年査読有り筆頭著者最終著者責任著者
Optimal Transport Kernels for Sequential and Parallel Neural Architecture Search

Vu Nguyen*, Tam Le*, Makoto Yamada, Michael A. Osborne (*: equal contribution)

International Conference on Machine Learning (ICML) 2021年査読有り筆頭著者責任著者
Adversarial Regression with Doubly Non-negative Weighting Matrices

Tam Le*, Truyen Nguyen*, Makoto Yamada, Jose Blanchet, Viet Anh Nguyen (*:equal contribution)

Neural Information Processing Systems (NeurIPS) 2021年査読有り筆頭著者責任著者
Safe Grid Search with Optimal Complexity

Eugene Ndiaye, Tam Le, Olivier Fercoq, Joseph Salmon, Ichiro Takeuchi

International Conference on Machine Learning (ICML) 2019年査読有り
Tree-Sliced Variants of Wasserstein Distances

Tam Le, Makoto Yamada, Kenji Fukumizu, Marco Cuturi

Neural Information Processing Systems (NeurIPS) 2019年査読有り筆頭著者責任著者
Persistence Fisher Kernel: A Riemannian Manifold Kernel for Persistence Diagrams

2018年査読有り筆頭著者責任著者
Unsupervised Riemannian Metric Learning for Histograms Using Aitchison Transformations

Tam Le, Marco Cuturi

International Conference on Machine Learning (ICML) 2015年査読有り筆頭著者責任著者
Adaptive Euclidean Maps for Histograms: Generalized Aitchison Embeddings

Tam Le, Marco Cuturi

Machine Learning Journal (MLJ) 2014年査読有り筆頭著者責任著者

もっとみる

講演・口頭発表等

Distance-Based Tree-Sliced Wasserstein Distance

Viet-Hoang Tran, Khoi N.M. Nguyen, Trang Pham, Thanh T. Chu, Tam Le, Tan M. Nguyen, equal contribution, co-last author

ICLR 2025 workshop: Deep Generative Model in Machine Learning: Theory, Principle and Efficacy (DeLTa) 2025年
Spherical Tree-Sliced Wasserstein Distance

Viet-Hoang Tran*, Thanh T. Chu*, Khoi N.M. Nguyen, Trang Pham, Tam Le**, Tan M. Nguyen** (*: equal contribution, **: co-last author)

ICLR 2025 workshop: Deep Generative Model in Machine Learning: Theory, Principle and Efficacy (DeLTa) 2025年
Beyond Sliced-Wasserstein: Optimal Transport with Tree Systems and Its Applications

Tam Le

Workshop on Optimization and Machine Learning for Data Science and Future Computing 2025年招待有り
Optimal Transport on Tree Systems and Applications

Tam Le

Statistical Mathematics Seminar Series 2025年
Optimal Transport on Tree Systems and Applications

Tam Le

Foundations and Frontiers: Interdisciplinary Perspectives on Mathematical Optimization workshop 2025年招待有り
SAVA: Scalable Learning-Agnostic Data Valuation

Tam Le

ISM Open House 2025年
An Efficient Orlicz-Sobolev Approach for Transporting Unbalanced Measures on a Graph

Tam Le*, Truyen Nguyen*, Hideitsu Hino, Kenji Fukumizu (*: equal contribution)

Neural Information Processing Systems (NeurIPS) [Spotlight: Top 3%] 2025年
Tree-Sliced Entropy Partial Transport

Viet-Hoang Tran, Thanh Tran, Thanh T. Chu, Tam Le**, Tan M. Nguyen** (co-last author)

Neural Information Processing Systems (NeurIPS) 2025年
Tree-Sliced Wasserstein Distance: A Geometric Perspective

Viet-Hoang Tran*, Trang Pham*, Tho Tran, Khoi N.M. Nguyen, Thanh T. Chu, Tam Le**, Tan M. Nguyen** (**: co-last author)

International Conference on Machine Learning (ICML) 2025年
Tree-Sliced Wasserstein Distance with Nonlinear Projection

Thanh Tran*, Viet-Hoang Tran*, Thanh T. Chu, Trang Pham, Laurent El Ghaoui**, Tam Le**, Tan M. Nguyen** (**: co-last author)

International Conference on Machine Learning (ICML) 2025年
Scalable Sobolev IPM for Probability Measures on a Graph

Tam Le*, Truyen Nguyen*, Hideitsu Hino, Kenji Fukumizu (*: equal-contribution)

International Conference on Machine Learning (ICML) 2025年
Distance-Based Tree-Sliced Wasserstein Distance

Viet-Hoang Tran*, Khoi N.M. Nguyen*, Trang Pham, Thanh T. Chu, Tam Le**, Tan M. Nguyen** (**: co-last author)

International Conference on Learning Representations (ICLR) 2025年
Spherical Tree-Sliced Wasserstein Distance

Viet-Hoang Tran*, Thanh T. Chu*, Khoi N.M. Nguyen, Trang Pham, Tam Le**, Tan M. Nguyen** (**: co-last author)

International Conference on Learning Representations (ICLR) 2025年
SAVA: Scalable Learning-Agnostic Data Valuation

Samuel Kessler*, Tam Le*, Vu Nguyen (*: equal contribution)

International Conference on Learning Representations (ICLR) 2025年
Generalized Sobolev Transport for Probability Measures on a Graph

Tam Le, Truyen Nguyen, Kenji Fukumizu

International Conference on Machine Learning (ICML) 2024年7月
Sliced Wasserstein with Random-Path Projecting Directions

Khai Nguyen, Shujian Zhang, Tam Le, Nhat Ho

International Conference on Machine Learning (ICML) 2024年7月
Optimal Transport for Measures with Noisy Tree Metric

Tam Le, Truyen Nguyen, Kenji Fukumizu

International Conference on Artificial Intelligence and Statistics (AISTATS) 2024年5月
Scalable Robust Optimal Transport for Measures with Noisy Tree Metric

Tam Le

Deep Learning: Theory, Applications, and Implications workshop, Japan 2024年3月
Scalable Robust Optimal Transport for Measures with Noisy Tree Metric

Tam Le

Data Science Seminar (Data Descriptive Science), Kyoto, Japan (hybrid) 2024年2月
Recent Results on Optimal Transport and Its Applications

Tam Le

Statistical Mathematics Seminar Series, Virtual 2024年

もっとみる

担当経験のある科目(授業)

2015年

Perspectives in Informatics, Informatics Seminar (Teaching assistant for Professor Marco Cuturi) (Graduate School of Informatics, Kyoto University, Japan)
2013年

Statistical Machine Learning (Teaching assistant for Professor Marco Cuturi) (Graduate School of Informatics, Kyoto University, Japan)
2013年

Pattern Recognition: Advances (Teaching assistant for Professor Marco Cuturi) (Graduate School of Informatics, Kyoto University, Japan)
2013年

Large Scale Optimization and Machine Learning (Teaching assistant for Professor Marco Cuturi) (Graduate School of Informatics, Kyoto University, Japan)
2011年 - 2012年

Data Structure (Lecturer for undergraduate course) (Vietnam National University - HCMC)
2011年 - 2012年

Graph Theory (Lecturer for undergraduate course) (Vietnam National University - HCMC)
2011年 - 2012年

Machine Learning (Teaching assistant for Professor Marco Cuturi) (Vietnam National University - HCMC)
2011年 - 2012年

Introduction to Linear Systems (Teaching assistant for Professor Giuseppe Calafiore) (John von Neuman Institute, Vietnam)
2008年 - 2012年

Statistics and Applications in Computer Science (Teaching assistant for undergraduate course) (Vietnam National University - HCMC)
2008年 - 2012年

Image Processing (Teaching assistant for undergraduate course) (Vietnam National University - HCMC)
2008年 - 2012年

Introduction to Computer Graphics (Teaching assistant for undergraduate course) (Vietnam National University - HCMC)
2008年 - 2012年

Introduction to Computer Vision (Teaching assistant for undergraduate course) (Vietnam National University - HCMC)
2008年 - 2012年

Introduction to Statistical Machine Learning (Teaching assistant for undergraduate course) (Vietnam National University - HCMC)
2008年 - 2012年

Introduction to Optimization (Teaching assistant for undergraduate course) (Vietnam National University - HCMC)
2011年

Optimization Models for Engineering (Teaching assistant for Professor Laurent El Ghaoui) (Vietnam National University - HCMC)

共同研究・競争的資金等の研究課題

Frontiers of Data Science by Probabilistic Description and Inference of Dynamics

JSPS - Grant-in-Aid for Transformative Research Areas (A) 2022年6月 - 2027年3月

Collaborator in Data Science Group led by Professor Kenji Fukumizu (ISM)
Local Structure-based Optimal Transport for Large-Scale Applications

JSPS Kakenhi - Grants-in-Aid for Scientific Research (C) 2023年4月 - 2026年3月

Tam Le
ブラックボックス最適化の停止基準を産業応用するための実証研究

三井情報株式会社 2023年 - 2026年
Optimal transport for robust causal inference

ISM Joint-research 2024年4月 - 2025年3月

Tam Le
Optimal Transport for Causal Inference

ISM Joint-research 2023年4月 - 2024年3月

Tam Le
On Scalability of Optimal Transport for Large-Scale Applications

JSPS Kakenhi - Grants-in-Aid for Young Scientists Grants-in-Aid for Scientific Research Grant-in-Aid for Early-Career Scientists 2020年4月 - 2023年3月

Tam Le
Approximate Model Selection with Guarantees

JSPS Kakenhi - Grants-in-Aid for Young Scientists (B) Grants-in-Aid for Scientific Research Grant-in-Aid for Young Scientists (B) 2017年4月 - 2020年3月

Tam Le

その他

Visiting Scholar, National University of Singapore

2025年4月 - 2025年4月

Hosted by Tan Nguyen (NUS)
Thong Pham (Shiga University)

2023年 - 2025年

ISM Joint-research FY2023, FY2024 (Projects: 2023-ISMCRP-2010, 2024-ISMCRP-2021)
Christopher Scarvelis (MIT CSAIL)

2023年3月 - 2023年4月

JSPS Postdoctoral Fellowships for Research in Japan, Short-Term Program (PE)
Iwao Tanuma (SOKENDAI Ph.D. defense)

2023年

Committee member
Internship (Lear, INRIA)

2014年1月 - 2014年2月

Internship student, Lear, INRIA, Grenoble, France. Supervisor: Professor Zaid Harchaoui.
Internship (Lear, INRIA)

2013年3月

Internship student at Lear, INRIA, Grenoble, France. Supervisor: Professor Zaid Harchaoui.
Internship (NII, Tokyo, Japan)

2010年8月 - 2011年2月

Internship student, National Institute of Informatics, Tokyo, Japan. Supervisor: Professor Akihiro Sugimoto
Internship (TTI, Nagoya, Japan)

2009年4月 - 2009年6月

Internship student, Toyota Technological Institute of Nagoya, Japan. Supervisor: Professor Seiichi Mita
International Conference on Learning Representations (ICLR)

Participate in 2020-2022, 2025
International Conference on Artificial Intelligence and Statistics (AISTATS)

Participate in 2019-2024
Neural Information Processing Systems (NeurIPS/NIPS)

Participate in 2014, 2017-2025
International Conference on Machine Learning (ICML)

Participate in 2015, 2018-2025
Summer school participant

[1] Machine Learning Summer School (MLSS series), Kyoto, Japan, 2015. [2] Machine Learning Summer School (MLSS series), Kyoto, Japan, 2012. [3] Machine Learning Summer School (MLSS series), Singapore, 2011.

Le Tam

基本情報

研究キーワード

研究分野

経歴

学歴

主要な委員歴

受賞

主要な論文

講演・口頭発表等

担当経験のある科目(授業)

共同研究・競争的資金等の研究課題

その他

メニュー

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