Game Theory

Is Approval Voting Optimal Given Approval Votes? NeurIPS 2015 Market Scoring Rules Act As Opinion Pools For Risk-Averse Agents NeurIPS 2015 Minimax Time Series Prediction NeurIPS 2015 No-Regret Learning in Bayesian Games NeurIPS 2015 Regret-Based Pruning in Extensive-Form Games NeurIPS 2015 Regret Lower Bound and Optimal Algorithm in Finite Stochastic Partial Monitoring NeurIPS 2015 Active Learning and Best-Response Dynamics NeurIPS 2014 Conditional Swap Regret and Conditional Correlated Equilibrium NeurIPS 2014 Efficient Minimax Strategies for Square Loss Games NeurIPS 2014 Generative Adversarial Nets NeurIPS 2014 Learning Optimal Commitment to Overcome Insecurity NeurIPS 2014 Learning Prices for Repeated Auctions with Strategic Buyers NeurIPS 2013 Optimization, Learning, and Games with Predictable Sequences NeurIPS 2013 The Pareto Regret Frontier NeurIPS 2013 A Collaborative Mechanism for Crowdsourcing Prediction Problems NeurIPS 2011 Adaptive Hedge NeurIPS 2011 Online Learning: Stochastic, Constrained, and Smoothed Adversaries NeurIPS 2011 Repeated Games against Budgeted Adversaries NeurIPS 2010 A Game-Theoretic Approach to Hypergraph Clustering NeurIPS 2009 A Parameter-free Hedging Algorithm NeurIPS 2009 Monte Carlo Sampling for Regret Minimization in Extensive Games NeurIPS 2009 Theoretical Advantages of Lenient Learners: An Evolutionary Game Theoretic Perspective JMLR 2008 Competition Adds Complexity NeurIPS 2007 Computational Equivalence of Fixed Points and No Regret Algorithms, and Convergence to Equilibria NeurIPS 2007 Convex Repeated Games and Fenchel Duality NeurIPS 2006