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SGD in the Large: Average-case Analysis, Asymptotics, and Stepsize
  Criticality

SGD in the Large: Average-case Analysis, Asymptotics, and Stepsize Criticality

8 February 2021
Courtney Paquette
Kiwon Lee
Fabian Pedregosa
Elliot Paquette
ArXivPDFHTML

Papers citing "SGD in the Large: Average-case Analysis, Asymptotics, and Stepsize Criticality"

12 / 12 papers shown
Title
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
How Feature Learning Can Improve Neural Scaling Laws
How Feature Learning Can Improve Neural Scaling Laws
Blake Bordelon
Alexander B. Atanasov
Cengiz Pehlevan
57
12
0
26 Sep 2024
High dimensional analysis reveals conservative sharpening and a stochastic edge of stability
High dimensional analysis reveals conservative sharpening and a stochastic edge of stability
Atish Agarwala
Jeffrey Pennington
41
3
0
30 Apr 2024
High-dimensional limit of one-pass SGD on least squares
High-dimensional limit of one-pass SGD on least squares
Elizabeth Collins-Woodfin
Elliot Paquette
36
3
0
13 Apr 2023
High-dimensional scaling limits and fluctuations of online least-squares
  SGD with smooth covariance
High-dimensional scaling limits and fluctuations of online least-squares SGD with smooth covariance
Krishnakumar Balasubramanian
Promit Ghosal
Ye He
38
5
0
03 Apr 2023
Statistical Inference for Linear Functionals of Online SGD in High-dimensional Linear Regression
Statistical Inference for Linear Functionals of Online SGD in High-dimensional Linear Regression
Bhavya Agrawalla
Krishnakumar Balasubramanian
Promit Ghosal
25
2
0
20 Feb 2023
SAM operates far from home: eigenvalue regularization as a dynamical
  phenomenon
SAM operates far from home: eigenvalue regularization as a dynamical phenomenon
Atish Agarwala
Yann N. Dauphin
21
20
0
17 Feb 2023
A Nonstochastic Control Approach to Optimization
A Nonstochastic Control Approach to Optimization
Xinyi Chen
Elad Hazan
47
5
0
19 Jan 2023
High-dimensional limit theorems for SGD: Effective dynamics and critical
  scaling
High-dimensional limit theorems for SGD: Effective dynamics and critical scaling
Gerard Ben Arous
Reza Gheissari
Aukosh Jagannath
62
58
0
08 Jun 2022
Neural Mechanics: Symmetry and Broken Conservation Laws in Deep Learning
  Dynamics
Neural Mechanics: Symmetry and Broken Conservation Laws in Deep Learning Dynamics
D. Kunin
Javier Sagastuy-Breña
Surya Ganguli
Daniel L. K. Yamins
Hidenori Tanaka
107
77
0
08 Dec 2020
On Large-Batch Training for Deep Learning: Generalization Gap and Sharp
  Minima
On Large-Batch Training for Deep Learning: Generalization Gap and Sharp Minima
N. Keskar
Dheevatsa Mudigere
J. Nocedal
M. Smelyanskiy
P. T. P. Tang
ODL
308
2,890
0
15 Sep 2016
A Differential Equation for Modeling Nesterov's Accelerated Gradient
  Method: Theory and Insights
A Differential Equation for Modeling Nesterov's Accelerated Gradient Method: Theory and Insights
Weijie Su
Stephen P. Boyd
Emmanuel J. Candes
108
1,157
0
04 Mar 2015
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