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Strong replica symmetry for high-dimensional disordered log-concave
  Gibbs measures
v1v2v3 (latest)

Strong replica symmetry for high-dimensional disordered log-concave Gibbs measures

27 September 2020
Jean Barbier
D. Panchenko
Manuel Sáenz
ArXiv (abs)PDFHTML

Papers citing "Strong replica symmetry for high-dimensional disordered log-concave Gibbs measures"

7 / 7 papers shown
On Naive Mean-Field Approximation for high-dimensional canonical GLMs
On Naive Mean-Field Approximation for high-dimensional canonical GLMs
Soumendu Sundar Mukherjee
Jiaze Qiu
Subhabrata Sen
272
2
0
21 Jun 2024
Information limits and Thouless-Anderson-Palmer equations for spiked
  matrix models with structured noise
Information limits and Thouless-Anderson-Palmer equations for spiked matrix models with structured noise
Jean Barbier
Francesco Camilli
Marco Mondelli
Yizhou Xu
353
4
0
31 May 2024
Fitting an ellipsoid to random points: predictions using the replica
  method
Fitting an ellipsoid to random points: predictions using the replica methodIEEE Transactions on Information Theory (IEEE Trans. Inf. Theory), 2023
Antoine Maillard
Dmitriy Kunisky
298
7
0
02 Oct 2023
Learning curves for deep structured Gaussian feature models
Learning curves for deep structured Gaussian feature modelsNeural Information Processing Systems (NeurIPS), 2023
Jacob A. Zavatone-Veth
Cengiz Pehlevan
MLT
370
14
0
01 Mar 2023
On double-descent in uncertainty quantification in overparametrized
  models
On double-descent in uncertainty quantification in overparametrized modelsInternational Conference on Artificial Intelligence and Statistics (AISTATS), 2022
Lucas Clarté
Bruno Loureiro
Florent Krzakala
Lenka Zdeborová
UQCV
537
16
0
23 Oct 2022
Bayes-optimal limits in structured PCA, and how to reach them
Bayes-optimal limits in structured PCA, and how to reach them
Jean Barbier
Francesco Camilli
Marco Mondelli
Manuel Sáenz
361
6
0
03 Oct 2022
Contrasting random and learned features in deep Bayesian linear
  regression
Contrasting random and learned features in deep Bayesian linear regressionPhysical Review E (Phys. Rev. E), 2022
Jacob A. Zavatone-Veth
William L. Tong
Cengiz Pehlevan
BDLMLT
401
31
0
01 Mar 2022
1
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