Game Theory

Diverse Randomized Agents Vote to Win NeurIPS 2014 Efficient Minimax Strategies for Square Loss Games NeurIPS 2014 Fairness in Multi-Agent Sequential Decision-Making NeurIPS 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 Repeated Contextual Auctions with Strategic Buyers NeurIPS 2014 Adaptive Market Making via Online Learning NeurIPS 2013 Convergence of Monte Carlo Tree Search in Simultaneous Move Games NeurIPS 2013 Generic Exploration and K-armed Voting Bandits ICML 2013 How to Hedge an Option Against an Adversary: Black-Scholes Pricing is Minimax Optimal NeurIPS 2013 Learning Prices for Repeated Auctions with Strategic Buyers NeurIPS 2013 Minimax Optimal Algorithms for Unconstrained Linear Optimization NeurIPS 2013 Optimization, Learning, and Games with Predictable Sequences NeurIPS 2013 Approximating Equilibria in Sequential Auctions with Incomplete Information and Multi-Unit Demand NeurIPS 2012 Efficient Monte Carlo Counterfactual Regret Minimization in Games with Many Player Actions NeurIPS 2012 Interpreting prediction markets: a stochastic approach NeurIPS 2012 Iterative ranking from pair-wise comparisons NeurIPS 2012 Learning Valuation Functions COLT 2012 Mirror Descent Meets Fixed Share (and feels no regret) NeurIPS 2012 Random Utility Theory for Social Choice NeurIPS 2012 Rational inference of relative preferences NeurIPS 2012 Relax and Randomize : From Value to Algorithms NeurIPS 2012 Tractable Objectives for Robust Policy Optimization NeurIPS 2012