Workshops

Fall 2022

Structure of Constraints in Sequential Decision-Making

Oct 10, 2022 to Oct 14, 2022

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Monday, October 10th, 2022
9:00 am–9:25 am		Coffee and Check In
9:25 am–9:30 am		Opening Remarks
9:30 am–10:30 am		Constant Regret in Exchangeable Action Models: Overbooking, Bin Packing, and Beyond Daniel Freund (MIT)
10:30 am–11:00 am		Coffee Break
11:00 am–12:00 pm		Stochastic Bin Packing with Time-Varying Item Sizes Weina Wang (Carnegie Mellon University)
12:00 pm–2:00 pm		Lunch
2:00 pm–3:00 pm		A Tutorial on Finite-Sample Guarantees of Contractive Stochastic Approximation With Applications in Reinforcement Learning Siva Theja Maguluri (Georgia Institute of Technology)
3:00 pm–3:30 pm		Coffee Break
3:30 pm–4:30 pm		A Tutorial on Finite-Sample Guarantees of Contractive Stochastic Approximation With Applications in Reinforcement Learning Zaiwei Chen (Caltech)
4:30 pm–5:30 pm		Reception (In conjunction with the Peter Bartlett recognition event)

Tuesday, October 11th, 2022
9:00 am–9:30 am		Coffee and Check In
9:30 am–10:30 am		The Statistical Complexity of Interactive Decision Making Dylan Foster (Microsoft Research)
10:30 am–11:00 am		Break
11:00 am–12:00 pm		A Game-Theoretic Approach to Offline Reinforcement Learning Ching-An Cheng (Microsoft Research)
12:00 pm–2:00 pm		Lunch
2:00 pm–3:00 pm		Are Multicriteria MDPs Harder to Solve Than Single-Criteria MDPs? Csaba Szepasvari (University of Alberta, Google DeepMind)
3:00 pm–3:30 pm		Break
3:30 pm–4:30 pm		Learning Across Bandits in High Dimension via Robust Statistics Hamsa Bastani (University of Pennsylvania)

Wednesday, October 12th, 2022
9:00 am–9:30 am		Coffee and Check In
9:30 am–10:30 am		Fast Algorithms for Online Stochastic Convex Programming Nikhil Devanur (Amazon)
10:30 am–11:00 am		Break
11:00 am–12:00 pm		New Results on Primal-Dual Algorithms for Online Allocation Problems With Applications to Budget Pacing in Online Advertising Haihao Lu (Chicago Booth School of Business)
12:00 pm–2:00 pm		Lunch
2:00 pm–3:00 pm		Dynamic Spatial Matching and Applications Yash Kanoria (Columbia University)
3:00 pm–3:30 pm		Break
3:30 pm–5:00 pm		Poster Session (In-Person Only)

Thursday, October 13th, 2022
9:00 am–9:30 am		Coffee and Check In
9:30 am–10:30 am		Optimal Learning for Structured Bandits Negin Golrezei (Massachusetts Institute of Technology)
10:30 am–11:00 am		Break
11:00 am–12:00 pm		When Matching Meets Batching: Optimal Multi-stage Algorithms and Applications Rad Niazadeh (The University of Chicago Booth School of Business)
12:00 pm–2:00 pm		Lunch
2:00 pm–3:00 pm		The Power of Adaptivity in Representation Learning: From Meta-Learning to Federated Learning Sanjay Shakkottai (University of Texas at Austin)
3:00 pm–3:30 pm		Break
3:30 pm–5:00 pm		Open Problem Session (In-Person Only)

Friday, October 14th, 2022
9:00 am–9:30 am		Coffee and Check In
9:30 am–10:30 am		Near-Optimal No-Regret Learning for General Convex Games Gabriele Farina (Carnegie Mellon University)
10:30 am–11:00 am		Break
11:00 am–12:00 pm		Learning to Control Safety-Critical Systems Adam Wierman (California Institute of Technology)