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Asymptotic Errors for Teacher-Student Convex Generalized Linear Models
  (or : How to Prove Kabashima's Replica Formula)

Asymptotic Errors for Teacher-Student Convex Generalized Linear Models (or : How to Prove Kabashima's Replica Formula)

11 June 2020
Cédric Gerbelot
A. Abbara
Florent Krzakala
ArXivPDFHTML

Papers citing "Asymptotic Errors for Teacher-Student Convex Generalized Linear Models (or : How to Prove Kabashima's Replica Formula)"

16 / 16 papers shown
Title
Generalization Error of Generalized Linear Models in High Dimensions
Generalization Error of Generalized Linear Models in High Dimensions
M Motavali Emami
Mojtaba Sahraee-Ardakan
Parthe Pandit
S. Rangan
A. Fletcher
AI4CE
40
37
0
01 May 2020
Generalisation error in learning with random features and the hidden
  manifold model
Generalisation error in learning with random features and the hidden manifold model
Federica Gerace
Bruno Loureiro
Florent Krzakala
M. Mézard
Lenka Zdeborová
67
169
0
21 Feb 2020
Asymptotic errors for convex penalized linear regression beyond Gaussian
  matrices
Asymptotic errors for convex penalized linear regression beyond Gaussian matrices
Cédric Gerbelot
A. Abbara
Florent Krzakala
49
17
0
11 Feb 2020
Inference with Deep Generative Priors in High Dimensions
Inference with Deep Generative Priors in High Dimensions
Jillian R. Fisher
Mojtaba Sahraee-Ardakan
S. Rangan
Zaid Harchaoui
Yejin Choi
BDL
46
46
0
08 Nov 2019
The generalization error of random features regression: Precise
  asymptotics and double descent curve
The generalization error of random features regression: Precise asymptotics and double descent curve
Song Mei
Andrea Montanari
83
635
0
14 Aug 2019
Surprises in High-Dimensional Ridgeless Least Squares Interpolation
Surprises in High-Dimensional Ridgeless Least Squares Interpolation
Trevor Hastie
Andrea Montanari
Saharon Rosset
Robert Tibshirani
188
743
0
19 Mar 2019
Inference in Deep Networks in High Dimensions
Inference in Deep Networks in High Dimensions
A. Fletcher
S. Rangan
BDL
103
69
0
20 Jun 2017
Multi-Layer Generalized Linear Estimation
Multi-Layer Generalized Linear Estimation
Andre Manoel
Florent Krzakala
M. Mézard
Lenka Zdeborová
50
54
0
24 Jan 2017
An equivalence between high dimensional Bayes optimal inference and
  M-estimation
An equivalence between high dimensional Bayes optimal inference and M-estimation
Madhu S. Advani
Surya Ganguli
60
16
0
22 Sep 2016
Expectation Consistent Approximate Inference: Generalizations and
  Convergence
Expectation Consistent Approximate Inference: Generalizations and Convergence
A. Fletcher
Mojtaba Sahraee-Ardakan
S. Rangan
P. Schniter
34
69
0
25 Feb 2016
Precise Error Analysis of Regularized M-estimators in High-dimensions
Precise Error Analysis of Regularized M-estimators in High-dimensions
Christos Thrampoulidis
Ehsan Abbasi
B. Hassibi
180
220
0
23 Jan 2016
Statistical physics of inference: Thresholds and algorithms
Statistical physics of inference: Thresholds and algorithms
Lenka Zdeborová
Florent Krzakala
AI4CE
78
425
0
08 Nov 2015
High Dimensional Robust M-Estimation: Asymptotic Variance via
  Approximate Message Passing
High Dimensional Robust M-Estimation: Asymptotic Variance via Approximate Message Passing
D. Donoho
Andrea Montanari
213
221
0
28 Oct 2013
The LASSO risk for gaussian matrices
The LASSO risk for gaussian matrices
Mohsen Bayati
Andrea Montanari
186
318
0
16 Aug 2010
Message Passing Algorithms for Compressed Sensing
Message Passing Algorithms for Compressed Sensing
D. Donoho
A. Maleki
Andrea Montanari
104
2,356
0
21 Jul 2009
A typical reconstruction limit of compressed sensing based on Lp-norm
  minimization
A typical reconstruction limit of compressed sensing based on Lp-norm minimization
Y. Kabashima
Tadashi Wadayama
Toshiyuki Tanaka
101
159
0
06 Jul 2009
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