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Oral
Tue Jun 11th 11:00 -- 11:20 AM @ Room 102
Regret Circuits: Composability of Regret Minimizers
Gabriele Farina · Christian Kroer · Tuomas Sandholm
Oral
Tue Jun 11th 11:20 -- 11:25 AM @ Room 102
Game Theoretic Optimization via Gradient-based Nikaido-Isoda Function
Arvind Raghunathan · Anoop Cherian · Devesh Jha
Oral
Tue Jun 11th 11:25 -- 11:30 AM @ Room 102
Stable-Predictive Optimistic Counterfactual Regret Minimization
Gabriele Farina · Christian Kroer · Noam Brown · Tuomas Sandholm
Oral
Tue Jun 11th 11:30 -- 11:35 AM @ Room 102
When Samples Are Strategically Selected
Hanrui Zhang · Yu Cheng · Vincent Conitzer
Oral
Tue Jun 11th 11:35 -- 11:40 AM @ Room 102
Statistical Foundations of Virtual Democracy
Anson Kahng · Min Kyung Lee · Ritesh Noothigattu · Ariel Procaccia · Christos-Alexandros Psomas
Oral
Tue Jun 11th 11:40 AM -- 12:00 PM @ Room 102
Optimal Auctions through Deep Learning
Paul Duetting · Zhe Feng · Harikrishna Narasimhan · David Parkes · Sai Srivatsa Ravindranath
Oral
Tue Jun 11th 12:00 -- 12:05 PM @ Room 102
Learning to Clear the Market
Weiran Shen · S├ębastien Lahaie · Renato Leme
Oral
Tue Jun 11th 12:05 -- 12:10 PM @ Room 102
Learning to bid in revenue-maximizing auctions
Thomas Nedelec · Noureddine El Karoui · Vianney Perchet
Oral
Tue Jun 11th 12:10 -- 12:15 PM @ Room 102
Open-ended learning in symmetric zero-sum games
David Balduzzi · Marta Garnelo · Yoram Bachrach · Wojciech Czarnecki · Julien Perolat · Max Jaderberg · Thore Graepel
Oral
Tue Jun 11th 12:15 -- 12:20 PM @ Room 102
Deep Counterfactual Regret Minimization
Noam Brown · Adam Lerer · Sam Gross · Tuomas Sandholm