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17 Results

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Poster
Tue 18:30 When Samples Are Strategically Selected
Hanrui Zhang · Yu Cheng · Vincent Conitzer
Poster
Tue 18:30 Regret Circuits: Composability of Regret Minimizers
Gabriele Farina · Christian Kroer · Tuomas Sandholm
Poster
Tue 18:30 Statistical Foundations of Virtual Democracy
Anson Kahng · Min Kyung Lee · Ritesh Noothigattu · Ariel Procaccia · Christos-Alexandros Psomas
Poster
Tue 18:30 Stable-Predictive Optimistic Counterfactual Regret Minimization
Gabriele Farina · Christian Kroer · Noam Brown · Tuomas Sandholm
Poster
Tue 18:30 Multiplicative Weights Updates as a distributed constrained optimization algorithm: Convergence to second-order stationary points almost always
Ioannis Panageas · Georgios Piliouras · xiao wang
Poster
Tue 18:30 Deep Counterfactual Regret Minimization
Noam Brown · Adam Lerer · Sam Gross · Tuomas Sandholm
Poster
Tue 18:30 Learning to Clear the Market
Weiran Shen · Sébastien Lahaie · Renato Leme
Poster
Tue 18:30 Open-ended learning in symmetric zero-sum games
David Balduzzi · Marta Garnelo · Yoram Bachrach · Wojciech Czarnecki · Julien Perolat · Max Jaderberg · Thore Graepel
Poster
Thu 18:30 Competing Against Nash Equilibria in Adversarially Changing Zero-Sum Games
Adrian Rivera Cardoso · Jacob Abernethy · He Wang · Huan Xu
Poster
Tue 18:30 Learning to bid in revenue-maximizing auctions
Thomas Nedelec · Noureddine El Karoui · Vianney Perchet
Poster
Thu 18:30 Explaining Deep Neural Networks with a Polynomial Time Algorithm for Shapley Value Approximation
Marco Ancona · Cengiz Oztireli · Markus Gross
Poster
Tue 18:30 Training Well-Generalizing Classifiers for Fairness Metrics and Other Data-Dependent Constraints
Andrew Cotter · Maya Gupta · Heinrich Jiang · Nati Srebro · Karthik Sridharan · Serena Wang · Blake Woodworth · Seungil You