Convolutional Phase Retrieval via Gradient Descent

Convolutional Phase Retrieval via Gradient Descent

3 December 2017

Qing Qu

Yonina C. Eldar

Papers citing "Convolutional Phase Retrieval via Gradient Descent"

9 / 9 papers shown

Title
Spectral Methods for Data Science: A Statistical Perspective Yuxin Chen Yuejie Chi Jianqing Fan Cong Ma 42 165 0 15 Dec 2020
Low-Rank Matrix Recovery with Scaled Subgradient Methods: Fast and Robust Convergence Without the Condition Number Tian Tong Cong Ma Yuejie Chi 21 55 0 26 Oct 2020
Quickly Finding a Benign Region via Heavy Ball Momentum in Non-Convex Optimization Jun-Kun Wang Jacob D. Abernethy 11 7 0 04 Oct 2020
Uncertainty quantification for nonconvex tensor completion: Confidence intervals, heteroscedasticity and optimality Changxiao Cai H. Vincent Poor Yuxin Chen 13 23 0 15 Jun 2020
$Depth Descent Synchronization in $\mathrm{SO}(D)$$ Depth Descent Synchronization in $\mathrm{SO}(D)$ Tyler Maunu Gilad Lerman MDE 37 2 0 13 Feb 2020
Subgradient Descent Learns Orthogonal Dictionaries Yu Bai Qijia Jiang Ju Sun 20 51 0 25 Oct 2018
Structured Local Optima in Sparse Blind Deconvolution Yuqian Zhang Han-Wen Kuo John N. Wright 26 56 0 01 Jun 2018
How Many Samples are Needed to Estimate a Convolutional or Recurrent Neural Network? S. Du Yining Wang Xiyu Zhai Sivaraman Balakrishnan Ruslan Salakhutdinov Aarti Singh SSL 21 57 0 21 May 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