Functionally Constrained Algorithm Solves Convex Simple Bilevel Problems Permalink
Published in Neurips, 2024
Huaqing Zhang*, Lesi Chen*, Jing Xu, Jingzhao Zhang
Publications
Random Masking Finds Winning Tickets for Parameter Efficient Fine-tuning
Published in ICML, 2024
Jing Xu, Jingzhao Zhang
On Bilevel Optimization without Lower-level Strong Convexity Permalink
Published in COLT, 2024
Lesi Chen*, Jing Xu*, JingZhao Zhang
Towards Data-Algorithm Dependent Generalization Analysis: a Case Study on Overparameterized Linear Regression Permalink
Published in Neurips, 2023
Jing Xu*, Jiaye Teng*, Yang Yuan, Andrew C Yao
Quantifying the Variability Collapse of Neural Networks Permalink
Published in ICML, 2023
Jing Xu*, Haoxiong Liu*
Faster Gradient-Free Algorithms for Nonsmooth Nonconvex Stochastic Optimization Permalink
Published in ICML, 2023
Lesi Chen, Jing Xu, Luo Luo
Preprints
FedCM: Federated Learning with Client-level Momentum Permalink
Jing Xu, Sen Wang, Liwei Wang, Andrew C Yao