5 papers
Learning Nonlinear Factor Models with Unknown Monotone Links from Incomplete and Noisy Data
Yutong Chao, Resat Gökhan, Jalal Etesami +1
We study a nonlinear factor model in which observed responses depend on low-rank latent factors through an unknown monotone link function. This setting is challenging and largely u…
Convergence of Consensus-Based Particle Methods for Nonconvex Bi-Level Optimization
Yutong Chao, Xudong Sun, Konstantin Riedl +2
In this paper, we study a consensus-based optimization method for nonconvex bi-level optimization, where the objective is to minimize an upper-level function over the set of global…
Last-iterate Convergence of ADMM on Multi-affine Quadratic Equality Constrained Problem
Yutong Chao, Michal Ciebielski, Jalal Etesami +1
In this paper, we study a class of non-convex optimization problems known as multi-affine quadratic equality constrained problems, which appear in various applications--from genera…
Global Convergence to Nash Equilibrium in Nonconvex General-Sum Games under the -Sided PL Condition
Yutong Chao, Jalal Etesami
We consider the problem of finding a Nash equilibrium (NE) in a general-sum game, where player 's objective is , with denoting…
Riemannian Manifold Learning for Stackelberg Games with Neural Flow Representations
Larkin Liu, Kashif Rasul, Yutong Chao +1
We present a novel framework for online learning in Stackelberg general-sum games, where two agents, the leader and follower, engage in sequential turn-based interactions. At the c…