All talks listed in Pacific Time. Schedule subject to change.

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Coffee and Check-in
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Opening Remarks
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Robust Identification and Estimation in Repeated Games
Niccolò Lomys (CSEF and Università degli Studi di Napoli Federico II)
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Fair Price Discrimination
Kangning Wang (Stanford University)
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Break
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The Feedback Loop of Statistical Discrimination
Jackie Baek (NYU Stern)
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Lunch (on your own)
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Group Fairness in Dynamic Refugee Assignment
Daniel Freund (MIT)
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Break
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Overbooking with Priority-Respecting Reassignment
Irene Lo (Stanford University)
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Reception
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Coffee and Check-in
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Online Combinatorial Auctions with Few Samples
Sahil Singla (Georgia Tech)
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Instance-dependent guarantees for stochastic matrix games
Kevin Jamieson (University of Washington)
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Break
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Calibrated Stackelberg Games: Learning Optimal Commitments Against Calibrated Agents
Chara Podimata (MIT)
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Lunch (on your own)
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The SMART Approach to Instance-Optimal Online Learning
Christina Lee Yu (Cornell University)
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Break
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Learning to Defer in Content Moderation: The Human-AI Interplay
Thodoris Lykouris (MIT)
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Coffee and Check-in
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Learning Augmented Algorithms for MDPs
Adam Wierman (Caltech)
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Recent advances in average-reward restless bandits
Weina Wang (Carnegie Mellon University)
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Break
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Local hedging approximately solves Pandora's box problems with optional inspection
Ziv Scully (Cornell ORIE)
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Lunch (on your own)
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Learning Inventory Policies on Arbitrary Demand Sequences
Will Ma (Columbia University)
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Break
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Leveraging Reviews: Learning to Price with Buyer and Seller Uncertainty
Ellen Vitercik (Stanford University)