Ding, Lijun

11 publications

CPAL 2025 A Validation Approach to Over-Parameterized Matrix and Image Recovery Lijun Ding, Zhen Qin, Liwei Jiang, Jinxin Zhou, Zhihui Zhu

L4DC 2024 Error Bounds, PL Condition, and Quadratic Growth for Weakly Convex Functions, and Linear Convergences of Proximal Point Methods Feng-Yi Liao, Lijun Ding, Yang Zheng

ICLR 2024 How Over-Parameterization Slows Down Gradient Descent in Matrix Sensing: The Curses of Symmetry and Initialization Nuoya Xiong, Lijun Ding, Simon Shaolei Du

NeurIPS 2024 Inexact Augmented Lagrangian Methods for Conic Optimization: Quadratic Growth and Linear Convergence Feng-Yi Liao, Lijun Ding, Yang Zheng

TMLR 2023 Euclidean-Norm-Induced Schatten-P Quasi-Norm Regularization for Low-Rank Tensor Completion and Tensor Robust Principal Component Analysis Jicong Fan, Lijun Ding, Chengrun Yang, Zhao Zhang, Madeleine Udell

NeurIPSW 2023 How Over-Parameterization Slows Down Gradient Descent in Matrix Sensing: The Curses of Symmetry and Initialization Nuoya Xiong, Lijun Ding, Simon Shaolei Du

TMLR 2023 Provably Convergent Policy Optimization via Metric-Aware Trust Region Methods Jun Song, Niao He, Lijun Ding, Chaoyue Zhao

AISTATS 2021 TenIPS: Inverse Propensity Sampling for Tensor Completion Chengrun Yang, Lijun Ding, Ziyang Wu, Madeleine Udell

NeurIPS 2021 Rank Overspecified Robust Matrix Recovery: Subgradient Method and Exact Recovery Lijun Ding, Liwei Jiang, Yudong Chen, Qing Qu, Zhihui Zhu

ICML 2020 Spectral Frank-Wolfe Algorithm: Strict Complementarity and Linear Convergence Lijun Ding, Yingjie Fei, Qiantong Xu, Chengrun Yang

NeurIPS 2019 Factor Group-Sparse Regularization for Efficient Low-Rank Matrix Recovery Jicong Fan, Lijun Ding, Yudong Chen, Madeleine Udell