Tam Le (PhD, 2016)
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Assistant Professor, The Institute of Statistical Mathematics (ISM) |
Research interests: Machine learning, optimal transport, geometric methods, kernel methods.
Contact
10-3 Midori-cho, Tachikawa, Tokyo 190-8562, Japan
Email: tam[at]ism.ac.jp (or lttam.vn[at]gmail.com)
Room: A506B. Access to ISM
My CV is here - Updated April, 2024.
News
11-Sep-2024, I will serve as Area Chair for AISTATS’25.
07-Aug-2024, I will serve as Area Chair for ICLR’25.
03-Aug-2024, I will serve as Senior Program Committee for AAAI’25.
02-May-2024, Our 2 papers have been accepted to ICML’24.
Sliced Wasserstein with Random-Path Projecting Directions, joint work with Khai Nguyen, Shujian Zhang, and Nhat Ho.
Generalized Sobolev Transport for Probability Measures on a Graph, joint work with Truyen Nguyen, and Kenji Fukumizu.
23-Jan-2024, I will serve as Area Chair for ICML’24.
20-Jan-2024, Our paper, entitled “Optimal Transport for Measures with Noisy Tree Metric” has been accepted to AISTATS’24! This is joint work with Truyen Nguyen and Kenji Fukumizu.
16-Jan-2024, I give an invited talk at The Mathematics of Data program – Workshop on Optimal Transport and PDEs, IMS, NUS, Singapore. [SLIDE]
13-Jan-2024, Our paper on optimal transport for causal inference, entitled “Scalable Counterfactual Distribution Estimation in Multivariate Causal Models” has been accepted to CLeaR’24! This is joint work with Thong Pham, Shohei Shimizu and Hideitsu Hino.
01-Apr-2023, Our proposal has been accepted by the Grants-in-Aid for Scientific Research (C) as PI (04/2023 - 03/2026).
01-Dec-2022, I am officially appointed as a visiting scientist at Functional Analytic Learning Unit, RIKEN Center for Advanced Intelligence Project (RIKEN AIP).
01-Sep-2022, I officially join in The Institute of Statistical Mathematics (ISM) as Assistant Professor. I am also an Assistant Professor at The Graduate School for Advanced Studies (SOKENDAI).
Research Support
Grants
04/2023 - 03/2026, JSPS KAKENHI Grant number 23K11243, Grants-in-Aid for Scientific Research (C) as PI (4.8M JPY).
04/2020 - 03/2023, JSPS KAKENHI Grant number 20K19873, Grants-in-Aid for Young Scientists as PI (4.2M JPY).
04/2017 - 03/2020, JSPS KAKENHI Grant number 17K12745, Grants-in-Aid for Young Scientists (B) as PI (4.1M JPY).
Others
06/2022 - 03/2027, a collaborator in Data Science group led by Kenji Fukumizu (ISM), JSPS - Grant-in-Aid for Transformative Research Areas (A).
04/2023 - 03/2025, a collaborator in a group led by Hideitsu Hino (ISM), Mitsui Knowledge Industry Co., Ltd. grant.
04/2024 - 03/2025, ISM Joint-research 2024-ISMCRP-2021 as PI.
04/2023 - 03/2024, ISM Joint-research 2023-ISMCRP-2010 as PI.
Vita
I received my Ph.D in 01/2016 from Kyoto University, Japan, supervised by Marco Cuturi and Akihiro Yamamoto. I worked as a post-doctoral researcher at Nagoya Institute of Technology & National Institute for Materials Science, Japan, mentored by Ichiro Takeuchi between 02/2016 and 08/2017. I then worked as a post-doctoral researcher between 09/2017 and 07/2021, and later as a research scientist between 08/2021 and 08/2022 at RIKEN Center for Advanced Intelligence Project (RIKEN AIP), mentored by Makoto Yamada. From 09/2022, I have been working as an assistant professor at The Institute of Statistical Mathematics (ISM), and I have concurrently been a visiting scientist at RIKEN AIP, working in Functional Analytic Learning Team led by Minh Ha Quang from 12/2022.