Tutorials, Workshops, and Service

Applied Probability Society Distinguished Lecture, INFORMS, October 2024.
Invited tutorial on statistical foundations of RL and interactive decision making, based on monograph Foundations of Reinforcement Learning and Interactive Decision Making.

International Conference on Machine Learning (ICML), July 2022.
Tutorial with Sasha Rakhlin highlighting advances in statistical foundations of RL/decision making, drawing from The Statistical Complexity of Interactive Decision Making.

Simons Institute for the Theory of Computing, January 2022.
Invited tutorial on theoretical foundations of reinforcement learning as part of Spring 2022 Learning and Games program at the Simons Institute.

Neural Information Processing Systems, December 2025.
Organized with Adam Block, Audrey Huang, Sadhika Malladi, William Merrill, Pavel Izmailov, Akshay Krishnamurthy, and Tatsu Hashimoto.

Conference on Learning Theory, July 2025.
Organized with Adam Block, Audrey Huang, Akshay Krishnamurthy, Nived Rajaraman, and Ayush Sekhari.

International Conference on Machine Learning, July 2024.
Organized with Claire Vernade, Michael Muehlebach, Johannes Kirschner, Andreas Krause, Csaba Szepesvari, and Alexandre Proutiere.

Simons Institute for the Theory of Computing, Spring 2022.
Semester-long program organized with Constantinos Daskalakis, Michael Jordan, Christos Papadimitriou, Georgios Piliouras, Vasilis Syrgkanis, and Eva Tardos.

Simons Institute for the Theory of Computing, May 2022.
Organized with Constantinos Daskalakis, Katja Hoffman, Michael Jordan, and Mengdi Wang.