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Gradient Descent with Random Initialization: Fast Global Convergence for Nonconvex Phase Retrieval

21 March 2018

Papers citing "Gradient Descent with Random Initialization: Fast Global Convergence for Nonconvex Phase Retrieval"

24 / 124 papers shown

Title
Learning One-hidden-layer neural networks via Provable Gradient Descent with Random Initialization Shuhao Xia Yuanming Shi ODL MLT 25 0 0 04 Jul 2019
Complex phase retrieval from subgaussian measurements Felix Krahmer Dominik Stöger 68 17 0 19 Jun 2019
A stochastic alternating minimizing method for sparse phase retrieval Jian-Feng Cai Yuling Jiao Xiliang Lu Juntao You 55 1 0 14 Jun 2019
Scale Invariant Power Iteration Cheolmin Kim Youngseok Kim Diego Klabjan 63 3 0 23 May 2019
Generalized Approximate Survey Propagation for High-Dimensional Estimation Luca Saglietti Yue M. Lu Carlo Lucibello 67 11 0 13 May 2019
Low-rank matrix recovery with composite optimization: good conditioning and rapid convergence Vasileios Charisopoulos Yudong Chen Damek Davis Mateo Díaz Lijun Ding Dmitriy Drusvyatskiy 88 85 0 22 Apr 2019
A Selective Overview of Deep Learning Jianqing Fan Cong Ma Yiqiao Zhong BDL VLM 198 135 0 10 Apr 2019
Noisy Matrix Completion: Understanding Statistical Guarantees for Convex Relaxation via Nonconvex Optimization Yuxin Chen Yuejie Chi Jianqing Fan Cong Ma Yuling Yan 89 128 0 20 Feb 2019
$Nonconvex Rectangular Matrix Completion via Gradient Descent without $\ell_{2,\infty}$ Regularization$ Nonconvex Rectangular Matrix Completion via Gradient Descent without $\ell_{2,\infty}$ Regularization Ji Chen Dekai Liu Xiaodong Li 67 11 0 18 Jan 2019
Overparameterized Nonlinear Learning: Gradient Descent Takes the Shortest Path? Samet Oymak Mahdi Soltanolkotabi ODL 73 177 0 25 Dec 2018
Phase Retrieval by Alternating Minimization with Random Initialization Teng Zhang 51 13 0 04 Dec 2018
Blind Over-the-Air Computation and Data Fusion via Provable Wirtinger Flow Jialin Dong Yuanming Shi Z. Ding 42 59 0 12 Nov 2018
Low-Rank Phase Retrieval via Variational Bayesian Learning Kaihui Liu Jiayi Wang Zhengli Xing Linxiao Yang Jun Fang BDL 52 13 0 05 Nov 2018
Nonconvex Optimization Meets Low-Rank Matrix Factorization: An Overview Yuejie Chi Yue M. Lu Yuxin Chen 75 427 0 25 Sep 2018
Defending Against Saddle Point Attack in Byzantine-Robust Distributed Learning Dong Yin Yudong Chen Kannan Ramchandran Peter L. Bartlett FedML 123 100 0 14 Jun 2018
Multichannel Sparse Blind Deconvolution on the Sphere Yanjun Li Y. Bresler 54 16 0 26 May 2018
Guaranteed Recovery of One-Hidden-Layer Neural Networks via Cross Entropy H. Fu Yuejie Chi Yingbin Liang FedML 84 39 0 18 Feb 2018
Nonconvex Matrix Factorization from Rank-One Measurements Yuanxin Li Cong Ma Yuxin Chen Yuejie Chi 75 52 0 17 Feb 2018
MentorNet: Learning Data-Driven Curriculum for Very Deep Neural Networks on Corrupted Labels Lu Jiang Zhengyuan Zhou Thomas Leung Li Li Li Fei-Fei NoLa 164 1,459 0 14 Dec 2017
Using Black-box Compression Algorithms for Phase Retrieval Milad Bakhshizadeh A. Maleki S. Jalali 79 9 0 08 Dec 2017
Convolutional Phase Retrieval via Gradient Descent Qing Qu Yuqian Zhang Yonina C. Eldar John N. Wright 95 30 0 03 Dec 2017
Implicit Regularization in Nonconvex Statistical Estimation: Gradient Descent Converges Linearly for Phase Retrieval, Matrix Completion, and Blind Deconvolution Cong Ma Kaizheng Wang Yuejie Chi Yuxin Chen 140 241 0 28 Nov 2017
Nonconvex Low-Rank Matrix Recovery with Arbitrary Outliers via Median-Truncated Gradient Descent Yuanxin Li Yuejie Chi Huishuai Zhang Yingbin Liang 76 29 0 23 Sep 2017
Median-Truncated Nonconvex Approach for Phase Retrieval with Outliers Huishuai Zhang Yuejie Chi Yingbin Liang 87 57 0 11 Mar 2016