Lijun Ding

Orcid: 0000-0003-2667-3337

According to our database1, Lijun Ding authored at least 26 papers between 2000 and 2023.

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Bibliography

2023
Algorithmic Regularization in Model-Free Overparametrized Asymmetric Matrix Factorization.
SIAM J. Math. Data Sci., September, 2023

A strict complementarity approach to error bound and sensitivity of solution of conic programs.
Optim. Lett., September, 2023

Revisiting Spectral Bundle Methods: Primal-Dual (Sub)linear Convergence Rates.
SIAM J. Optim., June, 2023

Euclidean-Norm-Induced Schatten-p Quasi-Norm Regularization for Low-Rank Tensor Completion and Tensor Robust Principal Component Analysis.
Trans. Mach. Learn. Res., 2023

Error bounds, PL condition, and quadratic growth for weakly convex functions, and linear convergences of proximal point methods.
CoRR, 2023

How Over-Parameterization Slows Down Gradient Descent in Matrix Sensing: The Curses of Symmetry and Initialization.
CoRR, 2023

An Overview and Comparison of Spectral Bundle Methods for Primal and Dual Semidefinite Programs.
CoRR, 2023

Provably Convergent Policy Optimization via Metric-aware Trust Region Methods.
CoRR, 2023

2022
A Validation Approach to Over-parameterized Matrix and Image Recovery.
CoRR, 2022

Flat minima generalize for low-rank matrix recovery.
CoRR, 2022

2021
An Optimal-Storage Approach to Semidefinite Programming Using Approximate Complementarity.
SIAM J. Optim., 2021

On the Simplicity and Conditioning of Low Rank Semidefinite Programs.
SIAM J. Optim., 2021

Low-Rank Matrix Recovery with Composite Optimization: Good Conditioning and Rapid Convergence.
Found. Comput. Math., 2021

Rank Overspecified Robust Matrix Recovery: Subgradient Method and Exact Recovery.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

TenIPS: Inverse Propensity Sampling for Tensor Completion.
Proceedings of the 24th International Conference on Artificial Intelligence and Statistics, 2021

2020
Leave-One-Out Approach for Matrix Completion: Primal and Dual Analysis.
IEEE Trans. Inf. Theory, 2020

Low-Rank Tensor Recovery with Euclidean-Norm-Induced Schatten-p Quasi-Norm Regularization.
CoRR, 2020

Low-rank matrix recovery with non-quadratic loss: projected gradient method and regularity projection oracle.
CoRR, 2020

kFW: A Frank-Wolfe style algorithm with stronger subproblem oracles.
CoRR, 2020

On the regularity and conditioning of low rank semidefinite programs.
CoRR, 2020

Spectral Frank-Wolfe Algorithm: Strict Complementarity and Linear Convergence.
Proceedings of the 37th International Conference on Machine Learning, 2020

2019
Factor Group-Sparse Regularization for Efficient Low-Rank Matrix Recovery.
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

2008
Mechanical Fault Patterns Identification and Grades Cognizance Based on Geometrical Learning.
Proceedings of the PACIIA 2008, 2008

2005
Volumetric, connective, and morphologic changes in the brains of children with chromosome 22q11.2 deletion syndrome: an integrative study.
NeuroImage, 2005

2001
On the Canny edge detector.
Pattern Recognit., 2001

2000
Volumetric image registration by template matching.
Proceedings of the Medical Imaging 2000: Image Processing, 2000


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