Selected talks
- Fast swap regret minimization and applications to approximate correlated equillibria
Google research NYC, 2023
Princeton theory seminar, 2023
Georgia tech ARC seminar, 2024
UC Irvine ARC seminar, 2024
- Memory regret tradeoff for online learning
Simons Institute, Sketching and algorithm design workshop, 2023
MIT Algorithm and complexity seminar, 2023
- Memory-Query Tradeoffs for Randomized Convex Optimization
Stanford theory lunch, 2023
Columbia theory lunch, 2023
CMU theory lunch, 2023
Yale theory seminar, 2023
- Lower bound for continual learning
Georgia Tech ACO seminar, 2023
Columbia theory lunch, 2023
Simons Institute, Learning and games reunion, 2023
Morgan Stanley Machine learning series, 2023
- The complexity of non-stationary reinforcement learning
RL Theory virtual seminars
- Complexity of equilibria in first-price auction under general tie-breaking rules
Equilibrium computation workshop, EC 23