A Geometric Analysis of Phase Retrieval

22 February 2016

Qing Qu

Papers citing "A Geometric Analysis of Phase Retrieval"

29 / 79 papers shown

Title
Blind Over-the-Air Computation and Data Fusion via Provable Wirtinger Flow Jialin Dong Yuanming Shi Z. Ding 9 59 0 12 Nov 2018
Diffusion Approximations for Online Principal Component Estimation and Global Convergence C. J. Li Mengdi Wang Han Liu Tong Zhang 34 12 0 29 Aug 2018
Convergence of Cubic Regularization for Nonconvex Optimization under KL Property Yi Zhou Zhe Wang Yingbin Liang 24 23 0 22 Aug 2018
Optimistic mirror descent in saddle-point problems: Going the extra (gradient) mile P. Mertikopoulos Bruno Lecouat Houssam Zenati Chuan-Sheng Foo V. Chandrasekhar Georgios Piliouras 34 291 0 07 Jul 2018
On the Implicit Bias of Dropout Poorya Mianjy R. Arora René Vidal 27 66 0 26 Jun 2018
The Global Optimization Geometry of Shallow Linear Neural Networks Zhihui Zhu Daniel Soudry Yonina C. Eldar M. Wakin ODL 18 36 0 13 May 2018
Stochastic model-based minimization of weakly convex functions Damek Davis Dmitriy Drusvyatskiy 33 370 0 17 Mar 2018
Smoothed analysis for low-rank solutions to semidefinite programs in quadratic penalty form Srinadh Bhojanapalli Nicolas Boumal Prateek Jain Praneeth Netrapalli 29 42 0 01 Mar 2018
Stochastic Variance-Reduced Cubic Regularization for Nonconvex Optimization Zhe Wang Yi Zhou Yingbin Liang Guanghui Lan 35 46 0 20 Feb 2018
Misspecified Nonconvex Statistical Optimization for Phase Retrieval Zhuoran Yang Lin F. Yang Ethan X. Fang T. Zhao Zhaoran Wang Matey Neykov 16 15 0 18 Dec 2017
Blind Gain and Phase Calibration via Sparse Spectral Methods Yanjun Li Kiryung Lee Y. Bresler 24 27 0 30 Nov 2017
Phase Retrieval via Randomized Kaczmarz: Theoretical Guarantees Yan Shuo Tan Roman Vershynin 14 99 0 30 Jun 2017
Solving Almost all Systems of Random Quadratic Equations G. Wang G. Giannakis Y. Saad Jie Chen 34 25 0 29 May 2017
On the Gap Between Strict-Saddles and True Convexity: An Omega(log d) Lower Bound for Eigenvector Approximation Max Simchowitz A. Alaoui Benjamin Recht 18 13 0 14 Apr 2017
How to Escape Saddle Points Efficiently Chi Jin Rong Ge Praneeth Netrapalli Sham Kakade Michael I. Jordan ODL 37 831 0 02 Mar 2017
Convergence Results for Neural Networks via Electrodynamics Rina Panigrahy Sushant Sachdeva Qiuyi Zhang MLT MDE 29 22 0 01 Feb 2017
Learning Semidefinite Regularizers Yong Sheng Soh V. Chandrasekaran 31 6 0 05 Jan 2017
Symmetry, Saddle Points, and Global Optimization Landscape of Nonconvex Matrix Factorization Xingguo Li Junwei Lu R. Arora Jarvis Haupt Han Liu Zhaoran Wang T. Zhao 43 52 0 29 Dec 2016
The Power of Normalization: Faster Evasion of Saddle Points Kfir Y. Levy 22 108 0 15 Nov 2016
Homotopy Analysis for Tensor PCA Anima Anandkumar Yuan-bei Deng Rong Ge H. Mobahi 30 43 0 28 Oct 2016
Phase Retrieval Meets Statistical Learning Theory: A Flexible Convex Relaxation S. Bahmani Justin Romberg 23 120 0 13 Oct 2016
Non-square matrix sensing without spurious local minima via the Burer-Monteiro approach Dohyung Park Anastasios Kyrillidis C. Caramanis Sujay Sanghavi 23 179 0 12 Sep 2016
Global Optimality of Local Search for Low Rank Matrix Recovery Srinadh Bhojanapalli Behnam Neyshabur Nathan Srebro ODL 36 386 0 23 May 2016
Median-Truncated Nonconvex Approach for Phase Retrieval with Outliers Huishuai Zhang Yuejie Chi Yingbin Liang 22 55 0 11 Mar 2016
Gradient Descent Converges to Minimizers J. Lee Max Simchowitz Michael I. Jordan Benjamin Recht 32 212 0 16 Feb 2016
When Are Nonconvex Problems Not Scary? Ju Sun Qing Qu John N. Wright 24 166 0 21 Oct 2015
Dropping Convexity for Faster Semi-definite Optimization Srinadh Bhojanapalli Anastasios Kyrillidis Sujay Sanghavi 27 172 0 14 Sep 2015
Complete Dictionary Recovery over the Sphere Ju Sun Qing Qu John N. Wright 33 202 0 26 Apr 2015
Finding a sparse vector in a subspace: Linear sparsity using alternating directions Qing Qu Ju Sun John N. Wright 16 111 0 15 Dec 2014