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Statistical physics of inference: Thresholds and algorithms

Statistical physics of inference: Thresholds and algorithms

8 November 2015
Lenka Zdeborová
Florent Krzakala
    AI4CE
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Papers citing "Statistical physics of inference: Thresholds and algorithms"

30 / 80 papers shown
Title
Reducibility and Statistical-Computational Gaps from Secret Leakage
Reducibility and Statistical-Computational Gaps from Secret Leakage
Matthew Brennan
Guy Bresler
35
86
0
16 May 2020
Double Trouble in Double Descent : Bias and Variance(s) in the Lazy
  Regime
Double Trouble in Double Descent : Bias and Variance(s) in the Lazy Regime
Stéphane dÁscoli
Maria Refinetti
Giulio Biroli
Florent Krzakala
98
152
0
02 Mar 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
25
166
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
34
16
0
11 Feb 2020
Intrinsic regularization effect in Bayesian nonlinear regression scaled
  by observed data
Intrinsic regularization effect in Bayesian nonlinear regression scaled by observed data
Satoru Tokuda
Kenji Nagata
M. Okada
26
1
0
05 Jan 2020
Thresholds of descending algorithms in inference problems
Thresholds of descending algorithms in inference problems
Stefano Sarao Mannelli
Lenka Zdeborova
AI4CE
24
4
0
02 Jan 2020
From complex to simple : hierarchical free-energy landscape renormalized
  in deep neural networks
From complex to simple : hierarchical free-energy landscape renormalized in deep neural networks
H. Yoshino
22
6
0
22 Oct 2019
Modelling the influence of data structure on learning in neural
  networks: the hidden manifold model
Modelling the influence of data structure on learning in neural networks: the hidden manifold model
Sebastian Goldt
M. Mézard
Florent Krzakala
Lenka Zdeborová
BDL
29
51
0
25 Sep 2019
Notes on Computational Hardness of Hypothesis Testing: Predictions using
  the Low-Degree Likelihood Ratio
Notes on Computational Hardness of Hypothesis Testing: Predictions using the Low-Degree Likelihood Ratio
Dmitriy Kunisky
Alexander S. Wein
Afonso S. Bandeira
29
136
0
26 Jul 2019
Understanding Phase Transitions via Mutual Information and MMSE
Understanding Phase Transitions via Mutual Information and MMSE
Galen Reeves
H. Pfister
22
7
0
03 Jul 2019
Statistical mechanics of low-rank tensor decomposition
Statistical mechanics of low-rank tensor decomposition
Jonathan Kadmon
Surya Ganguli
16
18
0
23 Oct 2018
Solving Statistical Mechanics Using Variational Autoregressive Networks
Solving Statistical Mechanics Using Variational Autoregressive Networks
Dian Wu
Lei Wang
Pan Zhang
28
181
0
27 Sep 2018
Approximate Survey Propagation for Statistical Inference
Approximate Survey Propagation for Statistical Inference
F. Antenucci
Florent Krzakala
Pierfrancesco Urbani
Lenka Zdeborová
37
21
0
03 Jul 2018
The committee machine: Computational to statistical gaps in learning a
  two-layers neural network
The committee machine: Computational to statistical gaps in learning a two-layers neural network
Benjamin Aubin
Antoine Maillard
Jean Barbier
Florent Krzakala
N. Macris
Lenka Zdeborová
46
104
0
14 Jun 2018
Entropy and mutual information in models of deep neural networks
Entropy and mutual information in models of deep neural networks
Marylou Gabrié
Andre Manoel
Clément Luneau
Jean Barbier
N. Macris
Florent Krzakala
Lenka Zdeborová
32
179
0
24 May 2018
Complex energy landscapes in spiked-tensor and simple glassy models:
  ruggedness, arrangements of local minima and phase transitions
Complex energy landscapes in spiked-tensor and simple glassy models: ruggedness, arrangements of local minima and phase transitions
V. Ros
Gerard Ben Arous
Giulio Biroli
C. Cammarota
17
102
0
08 Apr 2018
Notes on computational-to-statistical gaps: predictions using
  statistical physics
Notes on computational-to-statistical gaps: predictions using statistical physics
Afonso S. Bandeira
Amelia Perry
Alexander S. Wein
AI4CE
25
57
0
29 Mar 2018
Comparing Dynamics: Deep Neural Networks versus Glassy Systems
Comparing Dynamics: Deep Neural Networks versus Glassy Systems
Marco Baity-Jesi
Levent Sagun
Mario Geiger
S. Spigler
Gerard Ben Arous
C. Cammarota
Yann LeCun
M. Wyart
Giulio Biroli
AI4CE
42
113
0
19 Mar 2018
Thermodynamics of Restricted Boltzmann Machines and related learning
  dynamics
Thermodynamics of Restricted Boltzmann Machines and related learning dynamics
A. Decelle
G. Fissore
Cyril Furtlehner
AI4CE
33
42
0
05 Mar 2018
Rethinking generalization requires revisiting old ideas: statistical
  mechanics approaches and complex learning behavior
Rethinking generalization requires revisiting old ideas: statistical mechanics approaches and complex learning behavior
Charles H. Martin
Michael W. Mahoney
AI4CE
30
62
0
26 Oct 2017
Optimal Errors and Phase Transitions in High-Dimensional Generalized
  Linear Models
Optimal Errors and Phase Transitions in High-Dimensional Generalized Linear Models
Jean Barbier
Florent Krzakala
N. Macris
Léo Miolane
Lenka Zdeborová
37
260
0
10 Aug 2017
Evaluating Ising Processing Units with Integer Programming
Evaluating Ising Processing Units with Integer Programming
Carleton Coffrin
Harsha Nagarajan
R. Bent
27
20
0
02 Jul 2017
Bayesian stochastic blockmodeling
Bayesian stochastic blockmodeling
Tiago P. Peixoto
19
198
0
29 May 2017
Statistical and computational phase transitions in spiked tensor
  estimation
Statistical and computational phase transitions in spiked tensor estimation
T. Lesieur
Léo Miolane
Marc Lelarge
Florent Krzakala
Lenka Zdeborová
31
116
0
27 Jan 2017
Constrained Low-rank Matrix Estimation: Phase Transitions, Approximate
  Message Passing and Applications
Constrained Low-rank Matrix Estimation: Phase Transitions, Approximate Message Passing and Applications
T. Lesieur
Florent Krzakala
Lenka Zdeborová
37
124
0
03 Jan 2017
Statistical limits of spiked tensor models
Statistical limits of spiked tensor models
Amelia Perry
Alexander S. Wein
Afonso S. Bandeira
24
77
0
22 Dec 2016
An Evolutionary Strategy based on Partial Imitation for Solving
  Optimization Problems
An Evolutionary Strategy based on Partial Imitation for Solving Optimization Problems
M. A. Javarone
17
7
0
12 Feb 2016
Phase Diagram and Approximate Message Passing for Blind Calibration and
  Dictionary Learning
Phase Diagram and Approximate Message Passing for Blind Calibration and Dictionary Learning
Florent Krzakala
M. Mézard
Lenka Zdeborová
75
37
0
24 Jan 2013
Hiding Quiet Solutions in Random Constraint Satisfaction Problems
Hiding Quiet Solutions in Random Constraint Satisfaction Problems
Florent Krzakala
Lenka Zdeborová
67
110
0
14 Jan 2009
A Spectral Approach to Analyzing Belief Propagation for 3-Coloring
A Spectral Approach to Analyzing Belief Propagation for 3-Coloring
A. Coja-Oghlan
Elchanan Mossel
Dan Vilenchik
91
24
0
02 Dec 2007
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