Workshops

Spring 2022

Learning in the Presence of Strategic Behavior

Mar 28, 2022 to Apr 1, 2022

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Monday, March 28th, 2022
9:00 am–9:30 am		Coffee and Check-In
9:30 am–9:35 am		Opening Remarks
9:35 am–10:30 am		The Limits Of Regularized Learning In Games Panayotis Mertikopoulos (French National Center for Scientific Research (CNRS))
10:30 am–11:00 am		Break
11:00 am–12:00 pm		What Does It Take To Be a Good Fisherman? Costantinos Daskalakis (MIT)
12:00 pm–2:00 pm		Lunch
2:00 pm–3:00 pm		Identification Analysis In Models With Set Valued Predictions Francesca Mollinari (Cornell University)
3:00 pm–3:30 pm		Break
3:30 pm–4:30 pm		Mechanisms To Procure Information Without Verification Grant Schoenebeck (University of Michigan)
4:30 pm–5:30 pm		Reception

Tuesday, March 29th, 2022
9:00 am–9:30 am		Coffee and Check-In
9:30 am–10:30 am		Forecast Hedging, Calibration, And Game Equilibria Sergiu Hart (Hebrew University of Jerusalem)
10:30 am–11:00 am		Break
11:00 am–12:00 pm		Optimal No-Regret Learning in General Games via Clairvoyant MWU Georgios Piliouras (Singapore University of Technology and Design)
12:00 pm–2:00 pm		Lunch
2:00 pm–3:00 pm		Predicting Cooperation Rates With A Learning Model Drew Fudenberg (MIT)
3:00 pm–3:30 pm		Break
3:30 pm–4:30 pm		Beyond Open Loop Algorithm Design: Learning from Decision-Dependent Data Lillian Ratliff (University of Washington)

Wednesday, March 30th, 2022
9:00 am–9:30 am		Coffee and Check-In
9:30 am–10:30 am		Aggregating Conflicting Forecasts Tim Roughgarden (Columbia University)
10:30 am–11:00 am		Break
11:00 am–12:00 pm		Experimental Evidence of Individual Human Learning in Games Colin F. Camerer (Caltech)
12:00 pm–2:00 pm		Lunch
2:00 pm–3:00 pm		In Praise of Game Dynamics Christos Papadimitriou (Columbia University)
3:00 pm–3:30 pm		Break
3:30 pm–4:30 pm		Analysis of the Alternating Mirror Descent for Constrained Min-Max Games Andre Wibisono (Yale University)

Thursday, March 31st, 2022
9:00 am–9:30 am		Coffee and Check-In
9:30 am–10:30 am		The Transfer Performance of Economic Models Annie Liang (Northwestern University)
10:30 am–11:00 am		Break
11:00 am–12:00 pm		Learning, Incentivizing Improvement, and Fairness in the Presence of Strategic Agents Avrim Blum (Toyota Technological Institute at Chicago)
12:00 pm–2:00 pm		Lunch
2:00 pm–3:00 pm		The Challenge of Understanding What Users Want: Inconsistent Preferences and Engagement Optimization Jon Kleinberg (Cornell University)
3:00 pm–3:30 pm		Break
3:30 pm–4:30 pm		How (Not) to Run a Forecasting Competition: Incentives and Efficiency Rafael Frongillo (University of Colorado Boulder)

Friday, April 1st, 2022
9:00 am–9:30 am		Coffee and Check-In
9:30 am–10:30 am		The Invisible Hand of Prediction Moritz Hardt (Max Planck Institute for Intelligent Systems)
10:30 am–11:00 am		Break
11:00 am–12:00 pm		Communicating with Anecdotes Nicole Immorlica (Microsoft Research)
12:00 pm–2:00 pm		Lunch
2:00 pm–3:00 pm		Reinforcement Learning for Complex Security Games and Beyond Fei Fang (Carnegie Mellon Univeresity)
3:00 pm–3:30 pm		Break
3:30 pm–4:30 pm		Inference on Auctions with Weak Assumptions on Information Vasilis Syrgkanis (Microsoft Research)