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Neural Networks Efficiently Learn Low-Dimensional Representations with
  SGD

Neural Networks Efficiently Learn Low-Dimensional Representations with SGD

29 September 2022
Alireza Mousavi-Hosseini
Sejun Park
M. Girotti
Ioannis Mitliagkas
Murat A. Erdogdu
    MLT
ArXivPDFHTML

Papers citing "Neural Networks Efficiently Learn Low-Dimensional Representations with SGD"

12 / 12 papers shown
Title
A Robust Monotonic Single-Index Model for Skewed and Heavy-Tailed Data: A Deep Neural Network Approach Applied to Periodontal Studies
A Robust Monotonic Single-Index Model for Skewed and Heavy-Tailed Data: A Deep Neural Network Approach Applied to Periodontal Studies
Qingyang Liu
Shijie Wang
Ray Bai
Dipankar Bandyopadhyay
OOD
36
0
0
04 May 2025
Robust Feature Learning for Multi-Index Models in High Dimensions
Robust Feature Learning for Multi-Index Models in High Dimensions
Alireza Mousavi-Hosseini
Adel Javanmard
Murat A. Erdogdu
OOD
AAML
42
1
0
21 Oct 2024
Learning Multi-Index Models with Neural Networks via Mean-Field Langevin Dynamics
Learning Multi-Index Models with Neural Networks via Mean-Field Langevin Dynamics
Alireza Mousavi-Hosseini
Denny Wu
Murat A. Erdogdu
MLT
AI4CE
27
6
0
14 Aug 2024
Grokking as a First Order Phase Transition in Two Layer Networks
Grokking as a First Order Phase Transition in Two Layer Networks
Noa Rubin
Inbar Seroussi
Z. Ringel
34
15
0
05 Oct 2023
Gradient-Based Feature Learning under Structured Data
Gradient-Based Feature Learning under Structured Data
Alireza Mousavi-Hosseini
Denny Wu
Taiji Suzuki
Murat A. Erdogdu
MLT
32
18
0
07 Sep 2023
ReLU Neural Networks with Linear Layers are Biased Towards Single- and Multi-Index Models
ReLU Neural Networks with Linear Layers are Biased Towards Single- and Multi-Index Models
Suzanna Parkinson
Greg Ongie
Rebecca Willett
60
6
0
24 May 2023
Learning Single-Index Models with Shallow Neural Networks
Learning Single-Index Models with Shallow Neural Networks
A. Bietti
Joan Bruna
Clayton Sanford
M. Song
164
67
0
27 Oct 2022
Generalization Bounds for Stochastic Gradient Descent via Localized
  $\varepsilon$-Covers
Generalization Bounds for Stochastic Gradient Descent via Localized ε\varepsilonε-Covers
Sejun Park
Umut Simsekli
Murat A. Erdogdu
43
9
0
19 Sep 2022
Convex Analysis of the Mean Field Langevin Dynamics
Convex Analysis of the Mean Field Langevin Dynamics
Atsushi Nitanda
Denny Wu
Taiji Suzuki
MLT
59
64
0
25 Jan 2022
Nonparametric Regression with Shallow Overparameterized Neural Networks Trained by GD with Early Stopping
Ilja Kuzborskij
Csaba Szepesvári
50
7
0
12 Jul 2021
A Local Convergence Theory for Mildly Over-Parameterized Two-Layer
  Neural Network
A Local Convergence Theory for Mildly Over-Parameterized Two-Layer Neural Network
Mo Zhou
Rong Ge
Chi Jin
69
44
0
04 Feb 2021
Deep Networks and the Multiple Manifold Problem
Deep Networks and the Multiple Manifold Problem
Sam Buchanan
D. Gilboa
John N. Wright
166
39
0
25 Aug 2020
1