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A Validation Approach to Over-parameterized Matrix and Image Recovery


Sep 21, 2022
Lijun Ding, Zhen Qin, Liwei Jiang, Jinxin Zhou, Zhihui Zhu

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* 29 pages and 9 figures 

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Flat minima generalize for low-rank matrix recovery


Mar 07, 2022
Lijun Ding, Dmitriy Drusvyatskiy, Maryam Fazel

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* 30 pages 

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Algorithmic Regularization in Model-free Overparametrized Asymmetric Matrix Factorization


Mar 06, 2022
Liwei Jiang, Yudong Chen, Lijun Ding

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* 35 pages, 3 figures 

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Rank Overspecified Robust Matrix Recovery: Subgradient Method and Exact Recovery


Sep 23, 2021
Lijun Ding, Liwei Jiang, Yudong Chen, Qing Qu, Zhihui Zhu

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* 75 pages, 3 figures 

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TenIPS: Inverse Propensity Sampling for Tensor Completion


Jan 01, 2021
Chengrun Yang, Lijun Ding, Ziyang Wu, Madeleine Udell

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Low-Rank Tensor Recovery with Euclidean-Norm-Induced Schatten-p Quasi-Norm Regularization


Dec 07, 2020
Jicong Fan, Lijun Ding, Chengrun Yang, Madeleine Udell

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


Aug 31, 2020
Lijun Ding, Yuqian Zhang, Yudong Chen

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* Main text has 13 pages. Reading first seven pages (takes around 10-15 minutes) should give a good understanding of the paper 

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$k$FW: A Frank-Wolfe style algorithm with stronger subproblem oracles


Jun 29, 2020
Lijun Ding, Jicong Fan, Madeleine Udell

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* 12 pages main text, 4 figures 

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On the regularity and conditioning of low rank semidefinite programs


Feb 25, 2020
Lijun Ding, Madeleine Udell

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* 29 pages, 1 figure, and 1 table 

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Factor Group-Sparse Regularization for Efficient Low-Rank Matrix Recovery


Nov 18, 2019
Jicong Fan, Lijun Ding, Yudong Chen, Madeleine Udell

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* Accepted by NeurIPS 2019. The supplementary material is at https://github.com/jicongfan/Supplementary-material-of-conference-papers 

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