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Kernel Interpolation as a Bayes Point Machine

Kernel Interpolation as a Bayes Point Machine

8 October 2021
Jeremy Bernstein
Alexander R. Farhang
Yisong Yue
    BDL
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Papers citing "Kernel Interpolation as a Bayes Point Machine"

5 / 5 papers shown
Title
Do deep neural networks have an inbuilt Occam's razor?
Do deep neural networks have an inbuilt Occam's razor?
Chris Mingard
Henry Rees
Guillermo Valle Pérez
A. Louis
UQCV
BDL
19
15
0
13 Apr 2023
A General Framework for the Practical Disintegration of PAC-Bayesian
  Bounds
A General Framework for the Practical Disintegration of PAC-Bayesian Bounds
Paul Viallard
Pascal Germain
Amaury Habrard
Emilie Morvant
UQCV
29
15
0
17 Feb 2021
Learning by Turning: Neural Architecture Aware Optimisation
Learning by Turning: Neural Architecture Aware Optimisation
Yang Liu
Jeremy Bernstein
M. Meister
Yisong Yue
ODL
39
26
0
14 Feb 2021
Second Order PAC-Bayesian Bounds for the Weighted Majority Vote
Second Order PAC-Bayesian Bounds for the Weighted Majority Vote
A. Masegosa
S. Lorenzen
Christian Igel
Yevgeny Seldin
24
40
0
01 Jul 2020
Spectrum Dependent Learning Curves in Kernel Regression and Wide Neural
  Networks
Spectrum Dependent Learning Curves in Kernel Regression and Wide Neural Networks
Blake Bordelon
Abdulkadir Canatar
C. Pehlevan
131
199
0
07 Feb 2020
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