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Expectation Consistent Approximate Inference: Generalizations and Convergence
25 February 2016
A. Fletcher
Mojtaba Sahraee-Ardakan
S. Rangan
P. Schniter
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Papers citing
"Expectation Consistent Approximate Inference: Generalizations and Convergence"
20 / 20 papers shown
Fast and Robust Phase Retrieval via Deep Expectation-Consistent Approximation
S. K. Shastri
Philip Schniter
442
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0
12 Jul 2024
Estimation of embedding vectors in high dimensions
G. A. Azar
M. Emami
A. Fletcher
Sundeep Rangan
299
1
0
12 Dec 2023
Fundamental Limits of Two-layer Autoencoders, and Achieving Them with Gradient Methods
International Conference on Machine Learning (ICML), 2022
Aleksandr Shevchenko
Kevin Kögler
Hamed Hassani
Marco Mondelli
DRL
MLT
242
3
0
27 Dec 2022
Denoising Generalized Expectation-Consistent Approximation for MR Image Recovery
IEEE Journal on Selected Areas in Information Theory (JSAIT), 2022
S. K. Shastri
Rizwan Ahmad
Christopher A. Metzler
Philip Schniter
260
7
0
09 Jun 2022
Towards Designing Optimal Sensing Matrices for Generalized Linear Inverse Problems
IEEE Transactions on Information Theory (IEEE Trans. Inf. Theory), 2021
Junjie Ma
Ji Xu
A. Maleki
377
3
0
05 Nov 2021
Phase Retrieval using Expectation Consistent Signal Recovery Algorithm based on Hypernetwork
IEEE Transactions on Signal Processing (IEEE TSP), 2021
Chang-Jen Wang
Chao-Kai Wen
Shang-Ho
S. Tsai
Shi Jin
Geoffrey Ye Li
230
6
0
12 Jan 2021
Approximate Message Passing algorithms for rotationally invariant matrices
Annals of Statistics (Ann. Stat.), 2020
Z. Fan
417
84
0
27 Aug 2020
Asymptotic Errors for Teacher-Student Convex Generalized Linear Models (or : How to Prove Kabashima's Replica Formula)
IEEE Transactions on Information Theory (IEEE Trans. Inf. Theory), 2020
Cédric Gerbelot
A. Abbara
Florent Krzakala
393
50
0
11 Jun 2020
Generalization Error of Generalized Linear Models in High Dimensions
International Conference on Machine Learning (ICML), 2020
M Motavali Emami
Mojtaba Sahraee-Ardakan
Parthe Pandit
S. Rangan
A. Fletcher
AI4CE
170
40
0
01 May 2020
Asymptotic errors for convex penalized linear regression beyond Gaussian matrices
Cédric Gerbelot
A. Abbara
Florent Krzakala
254
17
0
11 Feb 2020
Inference in Multi-Layer Networks with Matrix-Valued Unknowns
Parthe Pandit
Mojtaba Sahraee-Ardakan
S. Rangan
P. Schniter
A. Fletcher
259
6
0
26 Jan 2020
Inference with Deep Generative Priors in High Dimensions
IEEE Journal on Selected Areas in Information Theory (JSAIT), 2019
Jillian R. Fisher
Mojtaba Sahraee-Ardakan
S. Rangan
Zaid Harchaoui
Yejin Choi
BDL
164
49
0
08 Nov 2019
Understanding Phase Transitions via Mutual Information and MMSE
Galen Reeves
H. Pfister
201
8
0
03 Jul 2019
Replicated Vector Approximate Message Passing For Resampling Problem
Takashi Takahashi
Y. Kabashima
121
4
0
23 May 2019
Approximate message-passing for convex optimization with non-separable penalties
Andre Manoel
Florent Krzakala
Gaël Varoquaux
Bertrand Thirion
Lenka Zdeborová
228
15
0
17 Sep 2018
Regularization by Denoising: Clarifications and New Interpretations
E. T. Reehorst
Philip Schniter
595
264
0
06 Jun 2018
Expectation Propagation for Approximate Inference: Free Probability Framework
Burak Çakmak
Manfred Opper
241
30
0
16 Jan 2018
Inference in Deep Networks in High Dimensions
A. Fletcher
S. Rangan
BDL
282
73
0
20 Jun 2017
Rigorous Dynamics and Consistent Estimation in Arbitrarily Conditioned Linear Systems
A. Fletcher
Mojtaba Sahraee-Ardakan
P. Schniter
S. Rangan
140
16
0
19 Jun 2017
Learning and Free Energies for Vector Approximate Message Passing
A. Fletcher
Philip Schniter
294
31
0
26 Feb 2016
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