Tam Le - Professional Activities

Professional Services

Area Chair (Meta-Reviewer) / Senior Program Committee

• AC, International Conference on Machine Learning (ICML): 2024

• AC, International Conference on Artificial Intelligence and Statistics (AISTATS): 2024

• AC, International Conference on Learning Representations (ICLR): 2024

• 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

• Neural Information Processing Systems (NeurIPS/NIPS): 2015, 2019-2023

• International Conference on Machine Learning (ICML): 2015, 2019-2023

• International Conference on Artificial Intelligence and Statistics (AISTATS): 2020-2023

• International Conference on Learning Representations (ICLR): 2020-2023

• Journal of Machine Learning Research (JMLR): 2020-2021, 2023

• Discrete and Computational Geometry Journal (DCG): 2021

• Machine Learning Journal (MLJ): 2017-2019

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

• 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.

Visitors / ISM Joint-Research

• Christopher Scarvelis (MIT CSAIL): JSPS Postdoctoral Fellowships for Research in Japan, Short-Term Program (March, 2023 - April, 2023)

• Thong Pham (Shiga University): ISM Joint-research FY2023

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.

Misc

Summer Schools

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

• Machine Learning Summer School (MLSS series), Kyoto, Japan, 2012.

• Machine Learning Summer School (MLSS series), Singapore, 2011.

Conferences

• International Conference on Machine Learning (ICML): 2015, 2018-2023.

• Neural Information Processing Systems (NeurIPS/NIPS): 2014, 2017-2023.

• International Conference on Artificial Intelligence and Statistics (AISTATS): 2019-2023.

• International Conference on Learning Representations (ICLR): 2020-2022.

• Conference on Learning Theory (COLT): 2018, 2020-2021.

• Symposium on Theory of Computing (STOC): 2021.

• Computer Vision and Pattern Recognition (CVPR): 2021.

• ACM Conference on Fairness, Accountability, and Transparency (FAccT): 2021.

• Association for Computational Linguistics (ACL): 2020.

Internships

• 01/2014 - 02/2014, Internship student, Lear, INRIA, Grenoble, France.

  • Supervisor: Professor Zaid Harchaoui.

• 03/2013, Internship student at Lear, INRIA, Grenoble, France.

  • Supervisor: Professor Zaid Harchaoui.

• 08/2010 - 02/2011, Internship student, National Institute of Informatics, Tokyo, Japan.

  • Supervisor: Professor Akihiro Sugimoto

• 04/2009 - 06/2009, Internship student, Toyota Technological Institute of Nagoya, Japan.

  • Supervisor: Professor Seiichi Mita