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2004.07177
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Analysis of Stochastic Gradient Descent in Continuous Time
15 April 2020
J. Latz
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Papers citing
"Analysis of Stochastic Gradient Descent in Continuous Time"
7 / 7 papers shown
Title
The Expected Loss of Preconditioned Langevin Dynamics Reveals the Hessian Rank
Amitay Bar
Rotem Mulayoff
T. Michaeli
Ronen Talmon
64
0
0
21 Feb 2024
Beyond first-order methods for non-convex non-concave min-max optimization
Abhijeet Vyas
Brian Bullins
23
1
0
17 Apr 2023
Online Learning for the Random Feature Model in the Student-Teacher Framework
Roman Worschech
B. Rosenow
46
0
0
24 Mar 2023
Analysis of Kinetic Models for Label Switching and Stochastic Gradient Descent
Martin Burger
Alex Rossi
22
1
0
01 Jul 2022
A Continuous-time Stochastic Gradient Descent Method for Continuous Data
Kexin Jin
J. Latz
Chenguang Liu
Carola-Bibiane Schönlieb
23
9
0
07 Dec 2021
The Zig-Zag Process and Super-Efficient Sampling for Bayesian Analysis of Big Data
J. Bierkens
Paul Fearnhead
Gareth O. Roberts
58
231
0
11 Jul 2016
The Loss Surfaces of Multilayer Networks
A. Choromańska
Mikael Henaff
Michaël Mathieu
Gerard Ben Arous
Yann LeCun
ODL
183
1,185
0
30 Nov 2014
1