Understanding Nonlinear Implicit Bias via Region Counts in Input Space

Published in ICML, 2025

Jingwei Li*, Jing Xu*, Zifan Wang, Huishuai Zhang, Jingzhao Zhang

Scalable Model Merging with Progressive Layer-wise Distillation

Published in ICML, 2025

Jing Xu, Jiazheng Li, Jingzhao Zhang

Functionally Constrained Algorithm Solves Convex Simple Bilevel Problems

Published in Neurips, 2024

Huaqing Zhang*, Lesi Chen*, Jing Xu, Jingzhao Zhang

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

Published in COLT, 2024

Lesi Chen*, Jing Xu*, JingZhao Zhang

Towards Data-Algorithm Dependent Generalization Analysis: a Case Study on Overparameterized Linear Regression

Published in Neurips, 2023

Jing Xu*, Jiaye Teng*, Yang Yuan, Andrew C Yao

Quantifying the Variability Collapse of Neural Networks

Published in ICML, 2023

Jing Xu*, Haoxiong Liu*

Faster Gradient-Free Algorithms for Nonsmooth Nonconvex Stochastic Optimization

Published in ICML, 2023

Lesi Chen, Jing Xu, Luo Luo

FedCM: Federated Learning with Client-level Momentum

Jing Xu, Sen Wang, Liwei Wang, Andrew C Yao