–
Coffee and Check-In
–
Opening Remarks
–
The Limits Of Regularized Learning In Games

Panayotis Mertikopoulos (French National Center for Scientific Research (CNRS)
Video
–
Break
–
What Does It Take To Be a Good Fisherman?

Costantinos Daskalakis (MIT)
Video
–
Lunch
–
Identification Analysis In Models With Set Valued Predictions

Francesca Mollinari (Cornell University)
Video
–
Break
–
Mechanisms To Procure Information Without Verification

Grant Schoenebeck (University of Michigan)
Video
–
Reception
–
Coffee and Check-In
–
Forecast Hedging, Calibration, And Game Equilibria

Sergiu Hart (Hebrew University of Jerusalem)
Video
–
Break
–
Optimal No-Regret Learning in General Games via Clairvoyant MWU

Georgios Piliouras (Singapore University of Technology and Design)
Video
–
Lunch
–
Predicting Cooperation Rates With A Learning Model

Drew Fudenberg (MIT)
Video
–
Break
–
Beyond Open Loop Algorithm Design: Learning from Decision-Dependent Data

Lillian Ratliff (University of Washington)
Video
–
Coffee and Check-In
–
Aggregating Conflicting Forecasts

Tim Roughgarden (Columbia University)
Video
–
Break
–
Experimental Evidence of Individual Human Learning in Games

Colin F. Camerer (Caltech)
Video
–
Lunch
–
In Praise of Game Dynamics

Christos Papadimitriou (Columbia University)
Video
–
Break
–
Analysis of the Alternating Mirror Descent for Constrained Min-Max Games

Andre Wibisono (Yale University)
Video
–
Coffee and Check-In
–
The Transfer Performance of Economic Models

Annie Liang (Northwestern University)
Video
–
Break
–
Learning, Incentivizing Improvement, and Fairness in the Presence of Strategic Agents

Avrim Blum (Toyota Technological Institute at Chicago)
Video
–
Lunch
–
The Challenge of Understanding What Users Want: Inconsistent Preferences and Engagement Optimization

Jon Kleinberg (Cornell University)
Video
–
Break
–
How (Not) to Run a Forecasting Competition: Incentives and Efficiency

Rafael Frongillo (University of Colorado Boulder)
Video
–
Coffee and Check-In
–
The Invisible Hand of Prediction

Moritz Hardt (Max Planck Institute for Intelligent Systems)
Video
–
Break
–
Communicating with Anecdotes

Nicole Immorlica (Microsoft Research)
Video
–
Lunch
–
Reinforcement Learning for Complex Security Games and Beyond

Fei Fang (Carnegie Mellon Univeresity)
Video
–
Break
–
Inference on Auctions with Weak Assumptions on Information

Vasilis Syrgkanis (Microsoft Research)
Video