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Glassy nature of the hard phase in inference problems
v1v2v3v4 (latest)

Glassy nature of the hard phase in inference problems

15 May 2018
F. Antenucci
S. Franz
Pierfrancesco Urbani
Lenka Zdeborová
ArXiv (abs)PDFHTML

Papers citing "Glassy nature of the hard phase in inference problems"

15 / 15 papers shown
Title
On the phase diagram of extensive-rank symmetric matrix denoising beyond rotational invariance
On the phase diagram of extensive-rank symmetric matrix denoising beyond rotational invariance
Jean Barbier
Francesco Camilli
Justin Ko
Koki Okajima
202
7
0
04 Nov 2024
Sampling with flows, diffusion and autoregressive neural networks: A
  spin-glass perspective
Sampling with flows, diffusion and autoregressive neural networks: A spin-glass perspective
Davide Ghio
Yatin Dandi
Florent Krzakala
Lenka Zdeborová
DiffM
98
32
0
27 Aug 2023
Disordered Systems Insights on Computational Hardness
Disordered Systems Insights on Computational Hardness
D. Gamarnik
Cristopher Moore
Lenka Zdeborová
AI4CE
102
46
0
15 Oct 2022
The price of ignorance: how much does it cost to forget noise structure
  in low-rank matrix estimation?
The price of ignorance: how much does it cost to forget noise structure in low-rank matrix estimation?
Jean Barbier
Tianqi Hou
Marco Mondelli
Manuel Sáenz
143
16
0
20 May 2022
The Franz-Parisi Criterion and Computational Trade-offs in High
  Dimensional Statistics
The Franz-Parisi Criterion and Computational Trade-offs in High Dimensional Statistics
Afonso S. Bandeira
A. Alaoui
Samuel B. Hopkins
T. Schramm
Alexander S. Wein
Ilias Zadik
107
36
0
19 May 2022
Mode connectivity in the loss landscape of parameterized quantum
  circuits
Mode connectivity in the loss landscape of parameterized quantum circuits
Kathleen E. Hamilton
E. Lynn
R. Pooser
104
3
0
09 Nov 2021
Bayesian reconstruction of memories stored in neural networks from their
  connectivity
Bayesian reconstruction of memories stored in neural networks from their connectivity
Sebastian Goldt
Florent Krzakala
Lenka Zdeborová
Nicolas Brunel
80
4
0
16 May 2021
Empirical Bayes PCA in high dimensions
Empirical Bayes PCA in high dimensions
Xinyi Zhong
Chang Su
Z. Fan
183
19
0
21 Dec 2020
The estimation error of general first order methods
The estimation error of general first order methods
Michael Celentano
Andrea Montanari
Yuchen Wu
112
48
0
28 Feb 2020
Thresholds of descending algorithms in inference problems
Thresholds of descending algorithms in inference problems
Stefano Sarao Mannelli
Lenka Zdeborova
AI4CE
125
4
0
02 Jan 2020
Mean-field inference methods for neural networks
Mean-field inference methods for neural networks
Marylou Gabrié
AI4CE
168
34
0
03 Nov 2019
Generalized Approximate Survey Propagation for High-Dimensional
  Estimation
Generalized Approximate Survey Propagation for High-Dimensional Estimation
Luca Saglietti
Yue M. Lu
Carlo Lucibello
107
11
0
13 May 2019
Passed & Spurious: Descent Algorithms and Local Minima in Spiked
  Matrix-Tensor Models
Passed & Spurious: Descent Algorithms and Local Minima in Spiked Matrix-Tensor Models
Stefano Sarao Mannelli
Florent Krzakala
Pierfrancesco Urbani
Lenka Zdeborová
154
51
0
01 Feb 2019
Marvels and Pitfalls of the Langevin Algorithm in Noisy High-dimensional
  Inference
Marvels and Pitfalls of the Langevin Algorithm in Noisy High-dimensional Inference
Stefano Sarao Mannelli
Giulio Biroli
C. Cammarota
Florent Krzakala
Pierfrancesco Urbani
Lenka Zdeborová
124
48
0
21 Dec 2018
Phase transitions in spiked matrix estimation: information-theoretic
  analysis
Phase transitions in spiked matrix estimation: information-theoretic analysis
Léo Miolane
155
20
0
12 Jun 2018
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