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