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20232026
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cs.LG2026

Efficient Online Inverse Optimization with Regret

Yang Cai, Anupam Gupta, Vineet Gupta +7

We give a deterministic algorithm for online inverse linear optimization with regret , uniform in the horizon and time per round. A bound of this order was obtaine…

cs.LG2026

A New Lower Bound for the Random Offerer Mechanism in Bilateral Trade using AI-Guided Evolutionary Search

Yang Cai, Vineet Gupta, Zun Li +1

The celebrated Myerson--Satterthwaite theorem shows that in bilateral trade, no mechanism can be simultaneously fully efficient, Bayesian incentive compatible (BIC), and budget bal…

cs.LG2026

Asymptotic Universal Alignment: A New Alignment Framework via Test-Time Scaling

Yang Cai, Weiqiang Zheng

Aligning large language models (LLMs) to serve users with heterogeneous and potentially conflicting preferences is a central challenge for personalized and trustworthy AI. We forma…

cs.LG2025

On Separation Between Best-Iterate, Random-Iterate, and Last-Iterate Convergence of Learning in Games

Yang Cai, Gabriele Farina, Julien Grand-Clément +4

Non-ergodic convergence of learning dynamics in games is widely studied recently because of its importance in both theory and practice. Recent work (Cai et al., 2024) showed that a…

cs.LG2024

Near-Optimal Policy Optimization for Correlated Equilibrium in General-Sum Markov Games

Yang Cai, Haipeng Luo, Chen-Yu Wei +1

We study policy optimization algorithms for computing correlated equilibria in multi-player general-sum Markov Games. Previous results achieve convergence rate to a c…