Yutong Chao — accepted AI-conference papers

2026

Last-iterate Convergence of ADMM on Multi-affine Quadratic Equality Constrained Problem

Yutong Chao, Michal Ciebielski, Jalal Etesami, Majid Khadiv

ICML 2026poster

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 generating feasible force trajectories in robotic locomotion and manipulation to training neural networks. Although these prob…

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2026

Riemannian Manifold Learning for Stackelberg Games with Neural Flow Representations

Larkin Liu, Kashif Rasul, Yutong Chao, Jalal Etesami

AAAI 2026technical

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 core of this approach is a learned diffeomorphism that maps the joint action space to a smooth spherical Riemannian manif

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