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Average-case Acceleration Through Spectral Density Estimation

Average-case Acceleration Through Spectral Density Estimation

12 February 2020
Fabian Pedregosa
Damien Scieur
ArXivPDFHTML

Papers citing "Average-case Acceleration Through Spectral Density Estimation"

4 / 4 papers shown
Title
Beyond Random Matrix Theory for Deep Networks
Beyond Random Matrix Theory for Deep Networks
Diego Granziol
75
16
0
13 Jun 2020
Optimal Randomized First-Order Methods for Least-Squares Problems
Optimal Randomized First-Order Methods for Least-Squares Problems
Jonathan Lacotte
Mert Pilanci
43
30
0
21 Feb 2020
Accelerating Smooth Games by Manipulating Spectral Shapes
Accelerating Smooth Games by Manipulating Spectral Shapes
Waïss Azizian
Damien Scieur
Ioannis Mitliagkas
Simon Lacoste-Julien
Gauthier Gidel
42
49
0
02 Jan 2020
Implicit Self-Regularization in Deep Neural Networks: Evidence from
  Random Matrix Theory and Implications for Learning
Implicit Self-Regularization in Deep Neural Networks: Evidence from Random Matrix Theory and Implications for Learning
Charles H. Martin
Michael W. Mahoney
AI4CE
92
196
0
02 Oct 2018
1