Tam Le - Professional Activities

Professional Services

Selected ML Conferences / Journals

• International Conference on Machine Learning (ICML)

  • Area chair (AC): 2024-2025

  • Program committee: 2015, 2019-2023

• International Conference on Learning Representations (ICLR)

  • Area chair (AC): 2024-2025

  • Program committee: 2020-2023

• International Conference on Artificial Intelligence and Statistics (AISTATS)

  • Area chair (AC): 2024-2025

  • Program committee: 2020-2023

• Neural Information Processing Systems (NeurIPS/NIPS)

  • Program committee: 2015, 2019-2025

• Journal of Machine Learning Research (JMLR)

  • Editorial board reviewer

Area Chair (Meta-Reviewer) / Senior Program Committee

• SPC, AAAI Conference on Artificial Intelligence (AAAI): 2025

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

• AC, Asian Conference on Machine Learning (ACML): 2022-2024

• SPC, International Joint Conference on Artificial Intelligence (IJCAI): 2021-2022

Program Committee / Journal Reviewer

• Machine Learning Journal (MLJ): 2017-2019

• Transactions on Pattern Analysis and Machine Intelligence (PAMI): 2021-2022

• Discrete and Computational Geometry Journal (DCG): 2021

• International Joint Conference on Artificial Intelligence (IJCAI): 2018-2020

• AAAI Conference on Artificial Intelligence (AAAI): 2020-2024

• Conference on Computer Vision and Pattern Recognition (CVPR): 2021

• Data Mining and Knowledge Discovery Journal (DMKD): 2016-2017

• Asian Conference on Machine Learning (ACML): 2013-2019

Member of Organizing Team

• Machine Learning Summer School, Kyoto, Japan, 2015.

• Trends in Machine Learning workshop, Kyoto, Japan, 2014.

• Machine Learning Summer School, Kyoto, Japan, 2012.

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 - 03/2026, a collaborator in a research group led by Hideitsu Hino (ISM), Mitsui Knowledge Industry Co., Ltd. grant.

Teaching Assistant

Kyoto University (for M.Sc. program)

• 2015, Perspective in Informatics, Informatics Seminar.

• 2013, Large Scale Optimization and Machine Learning, Marco Cuturi.

• 2013, Pattern Recognition: Advances, Marco Cuturi.

• 2013, Statistical Machine Learning, Marco Cuturi & Akihiro Yamamoto.

John von Neumann Institute (JVN) (for M.Sc. program)

• 2012, Introduction to Linear Systems, Giuseppe Calafiore - Politecnico di Torino, Italy.

• 2011, Introduction to Linear Systems, Giuseppe Calafiore - Politecnico di Torino, Italy.

University of Science, VNU-HCMC (for B.Sc. program) (Selected)

• 2012, Machine Learning, Marco Cuturi - Kyoto University, Japan.

• 2012, Game Theory, Multi-agents and social algorithm, Thuc Vu - Google Inc, USA.

• 2011, Optimization Models for Engineering, Laurent El Ghaoui - University of California, Berkeley, USA.