1 citations · 1 across the 2 of their papers we have counts for
2 papers
math.OC2024★ 1 cited
A General Continuous-Time Formulation of Stochastic ADMM and Its Variants
Chris Junchi Li
Stochastic versions of the alternating direction method of multiplier (ADMM) and its variants play a key role in many modern large-scale machine learning problems. In this work, we…
cs.LG2022
Learning Two-Player Mixture Markov Games: Kernel Function Approximation and Correlated Equilibrium
Chris Junchi Li, Dongruo Zhou, Quanquan Gu +1
We consider learning Nash equilibria in two-player zero-sum Markov Games with nonlinear function approximation, where the action-value function is approximated by a function in a R…