Sampling from the Random Linear Model via Stochastic Localization Up to the AMP Threshold

15 July 2024

Papers citing "Sampling from the Random Linear Model via Stochastic Localization Up to the AMP Threshold"

9 / 9 papers shown

Title
Diffusion Posterior Sampling for General Noisy Inverse Problems Hyungjin Chung Jeongsol Kim Michael T. McCann M. Klasky J. C. Ye DiffM 98 830 0 29 Sep 2022
The TAP free energy for high-dimensional linear regression Jia Qiu Subhabrata Sen 54 8 0 14 Mar 2022
Localization Schemes: A Framework for Proving Mixing Bounds for Markov Chains Yuansi Chen Ronen Eldan 38 80 0 08 Mar 2022
Solving Inverse Problems in Medical Imaging with Score-Based Generative Models Yang Song Liyue Shen Lei Xing Stefano Ermon DiffM SyDa OffRL MedIm 85 524 0 15 Nov 2021
Variational Inference in high-dimensional linear regression Soumendu Sundar Mukherjee S. Sen BDL 23 24 0 25 Apr 2021
Approximate Message Passing algorithms for rotationally invariant matrices Z. Fan 20 69 0 27 Aug 2020
The estimation error of general first order methods Michael Celentano Andrea Montanari Yuchen Wu 43 45 0 28 Feb 2020
Optimal Errors and Phase Transitions in High-Dimensional Generalized Linear Models Jean Barbier Florent Krzakala N. Macris Léo Miolane Lenka Zdeborová 68 265 0 10 Aug 2017
The LASSO risk for gaussian matrices Mohsen Bayati Andrea Montanari 178 317 0 16 Aug 2010