3 papers
math.OC2024
Achieving Near-Optimal Convergence for Distributed Minimax Optimization with Adaptive Stepsizes
Yan Huang, Xiang Li, Yipeng Shen +2
In this paper, we show that applying adaptive methods directly to distributed minimax problems can result in non-convergence due to inconsistency in locally computed adaptive steps…
cs.GT2024
Automated Design of Affine Maximizer Mechanisms in Dynamic Settings
Michael Curry, Vinzenz Thoma, Darshan Chakrabarti +5
Dynamic mechanism design is a challenging extension to ordinary mechanism design in which the mechanism designer must make a sequence of decisions over time in the face of possibly…
cs.GT2023
Learning Best Response Policies in Dynamic Auctions via Deep Reinforcement Learning
Vinzenz Thoma, Michael Curry, Niao He +1
Many real-world auctions are dynamic processes, in which bidders interact and report information over multiple rounds with the auctioneer. The sequential decision making aspect pai…