Lijun Ding

Publication Activity (10 Years)

Years Active: 2000-2024
Publications (10 Years): 33

Top Topics

Matrix Completion

Subgradient Method

Top Venues

Trans. Mach. Learn. Res.

Publications

Feng-Yi Liao, Lijun Ding, Yang Zheng
Error bounds, PL condition, and quadratic growth for weakly convex functions, and linear convergences of proximal point methods. L4DC (2024)
Zhongyu Wang, Yaheng Song, Erci Xu, Haonan Wu, Guangxun Tong, Shizhuo Sun, Haoran Li, Jincheng Liu, Lijun Ding, Rong Liu, Jiaji Zhu, Jiesheng Wu
Ransom Access Memories: Achieving Practical Ransomware Protection in Cloud with DeftPunk. OSDI (2024)
Nuoya Xiong, Lijun Ding, Simon Shaolei Du
How Over-Parameterization Slows Down Gradient Descent in Matrix Sensing: The Curses of Symmetry and Initialization. ICLR (2024)
Feng-Yi Liao, Lijun Ding, Yang Zheng
Error bounds, PL condition, and quadratic growth for weakly convex functions, and linear convergences of proximal point methods. CoRR (2023)
Liwei Jiang, Yudong Chen, Lijun Ding
Algorithmic Regularization in Model-Free Overparametrized Asymmetric Matrix Factorization. SIAM J. Math. Data Sci. 5 (3) (2023)
Nuoya Xiong, Lijun Ding, Simon S. Du
How Over-Parameterization Slows Down Gradient Descent in Matrix Sensing: The Curses of Symmetry and Initialization. CoRR (2023)
Lijun Ding, Benjamin Grimmer
Revisiting Spectral Bundle Methods: Primal-Dual (Sub)linear Convergence Rates. SIAM J. Optim. 33 (2) (2023)
Feng-Yi Liao, Lijun Ding, Yang Zheng
An Overview and Comparison of Spectral Bundle Methods for Primal and Dual Semidefinite Programs. CoRR (2023)
Jicong Fan, Lijun Ding, Chengrun Yang, Zhao Zhang, Madeleine Udell
Euclidean-Norm-Induced Schatten-p Quasi-Norm Regularization for Low-Rank Tensor Completion and Tensor Robust Principal Component Analysis. Trans. Mach. Learn. Res. 2023 (2023)
Jun Song, Niao He, Lijun Ding, Chaoyue Zhao
Provably Convergent Policy Optimization via Metric-aware Trust Region Methods. Trans. Mach. Learn. Res. 2023 (2023)
Jun Song, Niao He, Lijun Ding, Chaoyue Zhao
Provably Convergent Policy Optimization via Metric-aware Trust Region Methods. CoRR (2023)
Lijun Ding, Madeleine Udell
A strict complementarity approach to error bound and sensitivity of solution of conic programs. Optim. Lett. 17 (7) (2023)
Lijun Ding, Zhen Qin, Liwei Jiang, Jinxin Zhou, Zhihui Zhu
A Validation Approach to Over-parameterized Matrix and Image Recovery. CoRR (2022)
Liwei Jiang, Yudong Chen, Lijun Ding
Algorithmic Regularization in Model-free Overparametrized Asymmetric Matrix Factorization. CoRR (2022)
Lijun Ding, Dmitriy Drusvyatskiy, Maryam Fazel
Flat minima generalize for low-rank matrix recovery. CoRR (2022)
Vasileios Charisopoulos, Yudong Chen, Damek Davis, Mateo Díaz, Lijun Ding, Dmitriy Drusvyatskiy
Low-Rank Matrix Recovery with Composite Optimization: Good Conditioning and Rapid Convergence. Found. Comput. Math. 21 (6) (2021)
Chengrun Yang, Lijun Ding, Ziyang Wu, Madeleine Udell
TenIPS: Inverse Propensity Sampling for Tensor Completion. CoRR (2021)
Lijun Ding, Alp Yurtsever, Volkan Cevher, Joel A. Tropp, Madeleine Udell
An Optimal-Storage Approach to Semidefinite Programming Using Approximate Complementarity. SIAM J. Optim. 31 (4) (2021)
Lijun Ding, Liwei Jiang, Yudong Chen, Qing Qu, Zhihui Zhu
Rank Overspecified Robust Matrix Recovery: Subgradient Method and Exact Recovery. NeurIPS (2021)
Lijun Ding, Liwei Jiang, Yudong Chen, Qing Qu, Zhihui Zhu
Rank Overspecified Robust Matrix Recovery: Subgradient Method and Exact Recovery. CoRR (2021)
Lijun Ding, Madeleine Udell
On the Simplicity and Conditioning of Low Rank Semidefinite Programs. SIAM J. Optim. 31 (4) (2021)
Chengrun Yang, Lijun Ding, Ziyang Wu, Madeleine Udell
TenIPS: Inverse Propensity Sampling for Tensor Completion. AISTATS (2021)
Lijun Ding, Madeleine Udell
On the regularity and conditioning of low rank semidefinite programs. CoRR (2020)
Lijun Ding, Jicong Fan, Madeleine Udell
kFW: A Frank-Wolfe style algorithm with stronger subproblem oracles. CoRR (2020)
Lijun Ding, Yuqian Zhang, Yudong Chen
Low-rank matrix recovery with non-quadratic loss: projected gradient method and regularity projection oracle. CoRR (2020)
Lijun Ding, Yudong Chen
Leave-One-Out Approach for Matrix Completion: Primal and Dual Analysis. IEEE Trans. Inf. Theory 66 (11) (2020)
Jicong Fan, Lijun Ding, Chengrun Yang, Madeleine Udell
Low-Rank Tensor Recovery with Euclidean-Norm-Induced Schatten-p Quasi-Norm Regularization. CoRR (2020)
Lijun Ding, Yingjie Fei, Qiantong Xu, Chengrun Yang
Spectral Frank-Wolfe Algorithm: Strict Complementarity and Linear Convergence. ICML (2020)
Jicong Fan, Lijun Ding, Yudong Chen, Madeleine Udell
Factor Group-Sparse Regularization for Efficient Low-Rank Matrix Recovery. CoRR (2019)
Lijun Ding, Alp Yurtsever, Volkan Cevher, Joel A. Tropp, Madeleine Udell
An Optimal-Storage Approach to Semidefinite Programming using Approximate Complementarity. CoRR (2019)
Jicong Fan, Lijun Ding, Yudong Chen, Madeleine Udell
Factor Group-Sparse Regularization for Efficient Low-Rank Matrix Recovery. NeurIPS (2019)
Vasileios Charisopoulos, Yudong Chen, Damek Davis, Mateo Díaz, Lijun Ding, Dmitriy Drusvyatskiy
Low-rank matrix recovery with composite optimization: good conditioning and rapid convergence. CoRR (2019)
Lijun Ding, Yudong Chen
The Leave-one-out Approach for Matrix Completion: Primal and Dual Analysis. CoRR (2018)
Lijun Ding, Liang Hua, Hongwu Li
Mechanical Fault Patterns Identification and Grades Cognizance Based on Geometrical Learning. PACIIA (1) (2008)
Tony J. Simon, Lijun Ding, Joel P. Bish, Donna M. McDonald-McGinn, Elaine H. Zackai, James C. Gee
Volumetric, connective, and morphologic changes in the brains of children with chromosome 22q11.2 deletion syndrome: an integrative study. NeuroImage 25 (1) (2005)
Lijun Ding, A. Ardeshir Goshtasby
On the Canny edge detector. Pattern Recognit. 34 (3) (2001)
Lijun Ding, Thisath C. Kularatna, Ardeshir Goshtasby, Martin Satter
Volumetric image registration by template matching. Medical Imaging: Image Processing (2000)