Game Theory

Regret-Based Pruning in Extensive-Form Games NeurIPS 2015 Revenue Optimization against Strategic Buyers NeurIPS 2015 Robust Trajectory Optimization: A Cooperative Stochastic Game Theoretic Approach RSS 2015 Active Learning and Best-Response Dynamics NeurIPS 2014 A Drifting-Games Analysis for Online Learning and Applications to Boosting NeurIPS 2014 A Statistical Decision-Theoretic Framework for Social Choice NeurIPS 2014 Causal Strategic Inference in Networked Microfinance Economies NeurIPS 2014 Combinatorial Partial Monitoring Game with Linear Feedback and Its Applications ICML 2014 Computing Nash Equilibria in Generalized Interdependent Security Games NeurIPS 2014 Conditional Swap Regret and Conditional Correlated Equilibrium NeurIPS 2014 Consistency of weighted majority votes NeurIPS 2014 Efficient Minimax Strategies for Square Loss Games NeurIPS 2014 Higher-Order Regret Bounds with Switching Costs COLT 2014 Learning Optimal Commitment to Overcome Insecurity NeurIPS 2014 Learning Theory and Algorithms for revenue optimization in second price auctions with reserve ICML 2014 On the convergence of no-regret learning in selfish routing ICML 2014 Optimal Regret Minimization in Posted-Price Auctions with Strategic Buyers NeurIPS 2014 Pursuit-Evasion Without Regret, with an Application to Trading ICML 2014 Repeated Contextual Auctions with Strategic Buyers NeurIPS 2014 Towards Minimax Online Learning with Unknown Time Horizon ICML 2014 Adaptive Market Making via Online Learning NeurIPS 2013 Aggregating Optimistic Planning Trees for Solving Markov Decision Processes NeurIPS 2013 A near-optimal algorithm for finite partial-monitoring games against adversarial opponents COLT 2013 Approachability, fast and slow COLT 2013 Bayesian Games for Adversarial Regression Problems ICML 2013