Talks and presentations

- Stochastic Approximation with Delayed Updates, 2024 INFORMS Annual Meeting.
- Delay in Reinforcement Learning, Princeton Machine Learning Theory Summer School, 2024.
- Discrete and Continuous Optimization for Collaborative and Multi-task Learning, Rutger Business School, 2024.
- Discrete Optimization in Machine Learning, CMU Machine Learning Department, 2023.
- Collaborative Linear Bandits with Adversarial Agents: Near-Optimal Regret Bounds, NeurIPS, 2022.
- Minimax Optimization: The Case of Convex-Submodular, Oral presentation in AISTATS 2022.
- Minimax Optimization: The Case of Convex-Submodular, Spotlight in "Subset Selection in Machine Learning" Workshop, ICML 2021.
- Submodular Meta-Learning, NeurIPS, 2020.