On Landscape of Lagrangian Functions and Stochastic Search for
Constrained Nonconvex Optimization

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On Landscape of Lagrangian Functions and Stochastic Search for Constrained Nonconvex Optimization

13 June 2018

Zhehui Chen

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Papers citing "On Landscape of Lagrangian Functions and Stochastic Search for Constrained Nonconvex Optimization"

12 / 12 papers shown

Title
Generative Adversarial Networks Gilad Cohen Raja Giryes GAN 298 30,152 0 01 Mar 2022
No Spurious Local Minima in Nonconvex Low Rank Problems: A Unified Geometric Analysis Rong Ge Chi Jin Yi Zheng 140 436 0 03 Apr 2017
Dropping Convexity for More Efficient and Scalable Online Multiview Learning Zhehui Chen Lin F. Yang C. J. Li T. Zhao 21 2 0 27 Feb 2017
Stochastic Approximation for Canonical Correlation Analysis R. Arora T. V. Marinov Poorya Mianjy Nathan Srebro 36 38 0 22 Feb 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 85 53 0 29 Dec 2016
Doubly Accelerated Methods for Faster CCA and Generalized Eigendecomposition Zeyuan Allen-Zhu Yuanzhi Li 63 51 0 20 Jul 2016
Matrix Completion has No Spurious Local Minimum Rong Ge Jason D. Lee Tengyu Ma 132 599 0 24 May 2016
Global Optimality of Local Search for Low Rank Matrix Recovery Srinadh Bhojanapalli Behnam Neyshabur Nathan Srebro ODL 127 388 0 23 May 2016
Efficient Algorithms for Large-scale Generalized Eigenvector Computation and Canonical Correlation Analysis Rong Ge Chi Jin Sham Kakade Praneeth Netrapalli Aaron Sidford 90 78 0 13 Apr 2016
Near-Optimal Stochastic Approximation for Online Principal Component Estimation C. J. Li Mengdi Wang Han Liu Tong Zhang 73 66 0 16 Mar 2016
A Geometric Analysis of Phase Retrieval Ju Sun Qing Qu John N. Wright 134 526 0 22 Feb 2016
Escaping From Saddle Points --- Online Stochastic Gradient for Tensor Decomposition Rong Ge Furong Huang Chi Jin Yang Yuan 143 1,059 0 06 Mar 2015