Journal Article
Learning to Branch: Generalization Guarantees and Limits of Data-Independent Discretization
Learning to Branch: Generalization Guarantees and Limits of Data-Independent Discretization
MEDIATOR INTERPRETATION AND FASTER LEARNING ALGORITHMS FOR LINEAR CORRELATED EQUILIBRIA IN GENERAL EXTENSIVE-FORM GAMES
New Sequence-Independent Lifting Techniques for Cover Inequalities and When They Induce Facets
On the Complexity of Computing Sparse Equilibria and Lower Bounds for No-Regret Learning in Games
TOWARD OPTIMAL POLICY POPULATION GROWTH IN TWO-PLAYER ZERO-SUM GAMES
Computing Optimal Equilibria and Mechanisms via Learning in Zero-Sum Extensive-Form Games
ESCHER: ESCHEWING IMPORTANCE SAMPLING IN GAMES BY COMPUTING A HISTORY VALUE FUNCTION TO ESTIMATE REGRET