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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

* 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

* 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

* 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

* 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

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

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Bundle Method Sketching for Low Rank Semidefinite Programming


Nov 11, 2019
Lijun Ding, Benjamin Grimmer

* 8 pages, 1 figure 

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Low-rank matrix recovery with composite optimization: good conditioning and rapid convergence


Apr 22, 2019
Vasileios Charisopoulos, Yudong Chen, Damek Davis, Mateo Díaz, Lijun Ding, Dmitriy Drusvyatskiy

* 80 pages 

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An Optimal-Storage Approach to Semidefinite Programming using Approximate Complementarity


Feb 09, 2019
Lijun Ding, Alp Yurtsever, Volkan Cevher, Joel A. Tropp, Madeleine Udell

* 29 pages and 4 figures 

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Frank-Wolfe Style Algorithms for Large Scale Optimization


Aug 15, 2018
Lijun Ding, Madeleine Udell

* 28 pages, 5 figures, a chapter of the book "Large-Scale and Distributed Optimization", Springer's Lecture Notes in Mathematics Series, volume 2227, https://www.springer.com/us/book/9783319974774 

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The Leave-one-out Approach for Matrix Completion: Primal and Dual Analysis


Mar 20, 2018
Lijun Ding, Yudong Chen

* 72 pages 

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