Phase Transitions of Spectral Initialization for High-Dimensional Nonconvex Estimation

21 February 2017

Papers citing "Phase Transitions of Spectral Initialization for High-Dimensional Nonconvex Estimation"

9 / 9 papers shown

Title
Computational and Statistical Guarantees for Tensor-on-Tensor Regression with Tensor Train Decomposition Zhen Qin Zhihui Zhu 67 4 0 10 Jun 2024
Misspecified Phase Retrieval with Generative Priors Zhaoqiang Liu Xinshao Wang Jiulong Liu 38 4 0 11 Oct 2022
Compressing Sign Information in DCT-based Image Coding via Deep Sign Retrieval Kei Suzuki Chihiro Tsutake Keita Takahashi T. Fujii 18 3 0 21 Sep 2022
Generalization Guarantees for Neural Architecture Search with Train-Validation Split Samet Oymak Mingchen Li Mahdi Soltanolkotabi AI4CE OOD 31 13 0 29 Apr 2021
HePPCAT: Probabilistic PCA for Data with Heteroscedastic Noise David Hong Kyle Gilman Laura Balzano Jeffrey A. Fessler 32 18 0 10 Jan 2021
How to iron out rough landscapes and get optimal performances: Averaged Gradient Descent and its application to tensor PCA Giulio Biroli C. Cammarota F. Ricci-Tersenghi 23 27 0 29 May 2019
Analysis of Spectral Methods for Phase Retrieval with Random Orthogonal Matrices Rishabh Dudeja Milad Bakhshizadeh Junjie Ma A. Maleki 16 20 0 07 Mar 2019
Solving Almost all Systems of Random Quadratic Equations G. Wang G. Giannakis Y. Saad Jie Chen 22 25 0 29 May 2017
The Projected Power Method: An Efficient Algorithm for Joint Alignment from Pairwise Differences Yuxin Chen Emmanuel Candes 32 92 0 19 Sep 2016