Yuan, Xiaoming

8 publications

ICML 2025 GANQ: GPU-Adaptive Non-Uniform Quantization for Large Language Models Pengxiang Zhao, Xiaoming Yuan

ICML 2021 A Value-Function-Based Interior-Point Method for Non-Convex Bi-Level Optimization Risheng Liu, Xuan Liu, Xiaoming Yuan, Shangzhi Zeng, Jin Zhang

ICML 2020 A Generic First-Order Algorithmic Framework for Bi-Level Programming Beyond Lower-Level Singleton Risheng Liu, Pan Mu, Xiaoming Yuan, Shangzhi Zeng, Jin Zhang

JMLR 2020 Discerning the Linear Convergence of ADMM for Structured Convex Optimization Through the Lens of Variational Analysis Xiaoming Yuan, Shangzhi Zeng, Jin Zhang

ICML 2017 Adaptive Consensus ADMM for Distributed Optimization Zheng Xu, Gavin Taylor, Hao Li, Mário A. T. Figueiredo, Xiaoming Yuan, Tom Goldstein

CVPR 2017 Adaptive Relaxed ADMM: Convergence Theory and Practical Implementation Zheng Xu, Mario A. T. Figueiredo, Xiaoming Yuan, Christoph Studer, Tom Goldstein

NeurIPS 2015 Adaptive Primal-Dual Splitting Methods for Statistical Learning and Image Processing Tom Goldstein, Min Li, Xiaoming Yuan

MLOSS 2015 The Flare Package for High Dimensional Linear Regression and Precision Matrix Estimation in R Xingguo Li, Tuo Zhao, Xiaoming Yuan, Han Liu