Get our free extension to see links to code for papers anywhere online!

Chrome logo Add to Chrome

Firefox logo Add to Firefox

Picture for Xiaoming Yuan

A Generic Descent Aggregation Framework for Gradient-based Bi-level Optimization


Feb 16, 2021
Risheng Liu, Pan Mu, Xiaoming Yuan, Shangzhi Zeng, Jin Zhang

* 16 pages 

  Access Paper or Ask Questions

FDNAS: Improving Data Privacy and Model Diversity in AutoML


Nov 06, 2020
Chunhui Zhang, Yongyuan Liang, Xiaoming Yuan, Lei Cheng


  Access Paper or Ask Questions

A Generic First-Order Algorithmic Framework for Bi-Level Programming Beyond Lower-Level Singleton


Jul 02, 2020
Risheng Liu, Pan Mu, Xiaoming Yuan, Shangzhi Zeng, Jin Zhang

* Accepted at ICML 2020 

  Access Paper or Ask Questions

The flare Package for High Dimensional Linear Regression and Precision Matrix Estimation in R


Jun 27, 2020
Xingguo Li, Tuo Zhao, Xiaoming Yuan, Han Liu

* Journal of Machine Learning Research 16 (2015) 553-557 

  Access Paper or Ask Questions

Bilevel Integrative Optimization for Ill-posed Inverse Problems


Jul 06, 2019
Risheng Liu, Long Ma, Xiaoming Yuan, Shangzhi Zeng, Jin Zhang


  Access Paper or Ask Questions

Stability and Optimization Error of Stochastic Gradient Descent for Pairwise Learning


Apr 26, 2019
Wei Shen, Zhenhuan Yang, Yiming Ying, Xiaoming Yuan

* 35 pages 

  Access Paper or Ask Questions

Adaptive Consensus ADMM for Distributed Optimization


Jun 20, 2017
Zheng Xu, Gavin Taylor, Hao Li, Mario Figueiredo, Xiaoming Yuan, Tom Goldstein

* ICML 2017 

  Access Paper or Ask Questions

Adaptive Relaxed ADMM: Convergence Theory and Practical Implementation


Apr 10, 2017
Zheng Xu, Mario A. T. Figueiredo, Xiaoming Yuan, Christoph Studer, Tom Goldstein

* CVPR 2017 

  Access Paper or Ask Questions