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The estimation error of general first order methods
v1v2 (latest)

The estimation error of general first order methods

28 February 2020
Michael Celentano
Andrea Montanari
Yuchen Wu
ArXiv (abs)PDFHTML

Papers citing "The estimation error of general first order methods"

29 / 29 papers shown
Title
Legilimens: Performant Video Analytics on the System-on-Chip Edge
Legilimens: Performant Video Analytics on the System-on-Chip Edge
M. Ramanujam
Yinwei Dai
Kyle Jamieson
Ravi Netravali
129
0
0
29 Apr 2025
Accurate, provable, and fast nonlinear tomographic reconstruction: A variational inequality approach
Accurate, provable, and fast nonlinear tomographic reconstruction: A variational inequality approach
Mengqi Lou
K. A. Verchand
Sara Fridovich-Keil
A. Pananjady
69
0
0
13 Mar 2025
Spectral Estimators for Multi-Index Models: Precise Asymptotics and Optimal Weak Recovery
Spectral Estimators for Multi-Index Models: Precise Asymptotics and Optimal Weak Recovery
Filip Kovačević
Yihan Zhang
Marco Mondelli
110
3
0
03 Feb 2025
Unifying AMP Algorithms for Rotationally-Invariant Models
Unifying AMP Algorithms for Rotationally-Invariant Models
Songbin Liu
Junjie Ma
147
0
0
02 Dec 2024
Analysis of High-dimensional Gaussian Labeled-unlabeled Mixture Model via Message-passing Algorithm
Analysis of High-dimensional Gaussian Labeled-unlabeled Mixture Model via Message-passing Algorithm
Xiaosi Gu
Tomoyuki Obuchi
130
0
0
29 Nov 2024
Estimating Generalization Performance Along the Trajectory of Proximal
  SGD in Robust Regression
Estimating Generalization Performance Along the Trajectory of Proximal SGD in Robust Regression
Kai Tan
Pierre C. Bellec
76
0
0
03 Oct 2024
Sampling from the Random Linear Model via Stochastic Localization Up to
  the AMP Threshold
Sampling from the Random Linear Model via Stochastic Localization Up to the AMP Threshold
Han Cui
Zhiyuan Yu
Jingbo Liu
71
1
0
15 Jul 2024
Optimal thresholds and algorithms for a model of multi-modal learning in
  high dimensions
Optimal thresholds and algorithms for a model of multi-modal learning in high dimensions
Christian Keup
Lenka Zdeborová
92
1
0
03 Jul 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
81
2
0
31 May 2024
Linear Operator Approximate Message Passing (OpAMP)
Linear Operator Approximate Message Passing (OpAMP)
Riccardo Rossetti
B. Nazer
Galen Reeves
62
2
0
13 May 2024
Fundamental limits of Non-Linear Low-Rank Matrix Estimation
Fundamental limits of Non-Linear Low-Rank Matrix Estimation
Pierre Mergny
Justin Ko
Florent Krzakala
Lenka Zdeborová
84
3
0
07 Mar 2024
Spectral Phase Transition and Optimal PCA in Block-Structured Spiked
  models
Spectral Phase Transition and Optimal PCA in Block-Structured Spiked models
Pierre Mergny
Justin Ko
Florent Krzakala
88
2
0
06 Mar 2024
Semidefinite programs simulate approximate message passing robustly
Semidefinite programs simulate approximate message passing robustly
Misha Ivkov
T. Schramm
64
8
0
15 Nov 2023
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
67
29
0
27 Aug 2023
Bayes optimal learning in high-dimensional linear regression with
  network side information
Bayes optimal learning in high-dimensional linear regression with network side information
Sagnik Nandy
Subhabrata Sen
69
2
0
09 Jun 2023
Algorithmic Decorrelation and Planted Clique in Dependent Random Graphs:
  The Case of Extra Triangles
Algorithmic Decorrelation and Planted Clique in Dependent Random Graphs: The Case of Extra Triangles
Guy Bresler
Chenghao Guo
Yury Polyanskiy
64
2
0
17 May 2023
Optimal Algorithms for the Inhomogeneous Spiked Wigner Model
Optimal Algorithms for the Inhomogeneous Spiked Wigner Model
Aleksandr Pak
Justin Ko
Florent Krzakala
51
10
0
13 Feb 2023
Equivalence of Approximate Message Passing and Low-Degree Polynomials in
  Rank-One Matrix Estimation
Equivalence of Approximate Message Passing and Low-Degree Polynomials in Rank-One Matrix Estimation
Andrea Montanari
Alexander S. Wein
47
27
0
14 Dec 2022
Lower Bounds for the Convergence of Tensor Power Iteration on Random Overcomplete Models
Lower Bounds for the Convergence of Tensor Power Iteration on Random Overcomplete Models
Yuchen Wu
Kangjie Zhou
171
6
0
07 Nov 2022
Near-optimal multiple testing in Bayesian linear models with
  finite-sample FDR control
Near-optimal multiple testing in Bayesian linear models with finite-sample FDR control
Taejoon Ahn
Licong Lin
Song Mei
101
3
0
04 Nov 2022
On double-descent in uncertainty quantification in overparametrized
  models
On double-descent in uncertainty quantification in overparametrized models
Lucas Clarté
Bruno Loureiro
Florent Krzakala
Lenka Zdeborová
UQCV
151
14
0
23 Oct 2022
Disordered Systems Insights on Computational Hardness
Disordered Systems Insights on Computational Hardness
D. Gamarnik
Cristopher Moore
Lenka Zdeborová
AI4CE
84
36
0
15 Oct 2022
Sudakov-Fernique post-AMP, and a new proof of the local convexity of the
  TAP free energy
Sudakov-Fernique post-AMP, and a new proof of the local convexity of the TAP free energy
Michael Celentano
89
21
0
19 Aug 2022
Subspace clustering in high-dimensions: Phase transitions &
  Statistical-to-Computational gap
Subspace clustering in high-dimensions: Phase transitions & Statistical-to-Computational gap
Luca Pesce
Bruno Loureiro
Florent Krzakala
Lenka Zdeborová
97
1
0
26 May 2022
Learning curves for the multi-class teacher-student perceptron
Learning curves for the multi-class teacher-student perceptron
Elisabetta Cornacchia
Francesca Mignacco
R. Veiga
Cédric Gerbelot
Bruno Loureiro
Lenka Zdeborová
90
21
0
22 Mar 2022
Bayesian Inference with Nonlinear Generative Models: Comments on Secure
  Learning
Bayesian Inference with Nonlinear Generative Models: Comments on Secure Learning
Ali Bereyhi
Bruno Loureiro
Florent Krzakala
R. Muller
H. Schulz-Baldes
72
2
0
19 Jan 2022
Statistically Optimal First Order Algorithms: A Proof via
  Orthogonalization
Statistically Optimal First Order Algorithms: A Proof via Orthogonalization
Andrea Montanari
Yuchen Wu
89
11
0
13 Jan 2022
Towards Designing Optimal Sensing Matrices for Generalized Linear
  Inverse Problems
Towards Designing Optimal Sensing Matrices for Generalized Linear Inverse Problems
Junjie Ma
Ji Xu
A. Maleki
32
3
0
05 Nov 2021
Reducibility and Statistical-Computational Gaps from Secret Leakage
Reducibility and Statistical-Computational Gaps from Secret Leakage
Matthew Brennan
Guy Bresler
99
91
0
16 May 2020
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