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The estimation error of general first order methods

The estimation error of general first order methods

28 February 2020
Michael Celentano
Andrea Montanari
Yuchen Wu
ArXivPDFHTML

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

13 / 13 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
78
0
0
29 Apr 2025
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
74
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
26
0
0
03 Oct 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
32
1
0
07 Mar 2024
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
13
25
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
29
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
24
3
0
04 Nov 2022
Disordered Systems Insights on Computational Hardness
Disordered Systems Insights on Computational Hardness
D. Gamarnik
Cristopher Moore
Lenka Zdeborová
AI4CE
35
33
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
34
20
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
38
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
23
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
35
2
0
19 Jan 2022
Reducibility and Statistical-Computational Gaps from Secret Leakage
Reducibility and Statistical-Computational Gaps from Secret Leakage
Matthew Brennan
Guy Bresler
29
86
0
16 May 2020
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