Game Theory

When Security Games Hit Traffic: Optimal Traffic Enforcement Under One Sided Uncertainty IJCAI 2017 Avoiding Imposters and Delinquents: Adversarial Crowdsourcing and Peer Prediction NeurIPS 2016 Cooperative Inverse Reinforcement Learning NeurIPS 2016 Deep Learning Games NeurIPS 2016 Eliciting Categorical Data for Optimal Aggregation NeurIPS 2016 Learning Tree Structured Potential Games NeurIPS 2016 Long-term Causal Effects via Behavioral Game Theory NeurIPS 2016 Minimizing Regret on Reflexive Banach Spaces and Nash Equilibria in Continuous Zero-Sum Games NeurIPS 2016 Pricing a Low-regret Seller ICML 2016 Adversarial Prediction Games for Multivariate Losses NeurIPS 2015 Combinatorial Bandits Revisited NeurIPS 2015 Double or Nothing: Multiplicative Incentive Mechanisms for Crowdsourcing NeurIPS 2015 Fast Convergence of Regularized Learning in Games NeurIPS 2015 Fictitious Self-Play in Extensive-Form Games ICML 2015 Is Approval Voting Optimal Given Approval Votes? NeurIPS 2015 Market Scoring Rules Act As Opinion Pools For Risk-Averse Agents NeurIPS 2015 No-Regret Learning in Bayesian Games NeurIPS 2015 On-the-Job Learning with Bayesian Decision Theory NeurIPS 2015 On the Pseudo-Dimension of Nearly Optimal Auctions NeurIPS 2015 Regret-Based Pruning in Extensive-Form Games NeurIPS 2015 Revenue Optimization against Strategic Buyers NeurIPS 2015 Approachability in unknown games: Online learning meets multi-objective optimization COLT 2014 Causal Strategic Inference in Networked Microfinance Economies NeurIPS 2014 Computing Nash Equilibria in Generalized Interdependent Security Games NeurIPS 2014 Conditional Swap Regret and Conditional Correlated Equilibrium NeurIPS 2014