Phase Retrieval via Randomized Kaczmarz: Theoretical Guarantees

Phase Retrieval via Randomized Kaczmarz: Theoretical Guarantees

30 June 2017

Roman Vershynin

Papers citing "Phase Retrieval via Randomized Kaczmarz: Theoretical Guarantees"

8 / 8 papers shown

Title
A Note on Randomized Kaczmarz Algorithm for Solving Doubly-Noisy Linear Systems El Houcine Bergou Soumia Boucherouite Aritra Dutta Xin Li A. Ma 19 2 0 31 Aug 2023
High-dimensional limit theorems for SGD: Effective dynamics and critical scaling Gerard Ben Arous Reza Gheissari Aukosh Jagannath 62 58 0 08 Jun 2022
Phase diagram of Stochastic Gradient Descent in high-dimensional two-layer neural networks R. Veiga Ludovic Stephan Bruno Loureiro Florent Krzakala Lenka Zdeborová MLT 22 31 0 01 Feb 2022
Spectral Methods for Data Science: A Statistical Perspective Yuxin Chen Yuejie Chi Jianqing Fan Cong Ma 42 165 0 15 Dec 2020
DeepInit Phase Retrieval M. Reiche P. Jung 27 3 0 16 Jul 2020
On the Sample Complexity and Optimization Landscape for Quadratic Feasibility Problems Parth Thaker Gautam Dasarathy Angelia Nedić 24 5 0 04 Feb 2020
Online Stochastic Gradient Descent with Arbitrary Initialization Solves Non-smooth, Non-convex Phase Retrieval Yan Shuo Tan Roman Vershynin 22 35 0 28 Oct 2019
Max-Affine Regression: Provable, Tractable, and Near-Optimal Statistical Estimation Avishek Ghosh A. Pananjady Adityanand Guntuboyina Kannan Ramchandran 17 25 0 21 Jun 2019