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A PAC-Bayesian Analysis of Randomized Learning with Application to
  Stochastic Gradient Descent
v1v2v3v4v5 (latest)

A PAC-Bayesian Analysis of Randomized Learning with Application to Stochastic Gradient Descent

19 September 2017
Ben London
ArXiv (abs)PDFHTML

Papers citing "A PAC-Bayesian Analysis of Randomized Learning with Application to Stochastic Gradient Descent"

2 / 52 papers shown
Title
Optimal Convergence for Distributed Learning with Stochastic Gradient
  Methods and Spectral Algorithms
Optimal Convergence for Distributed Learning with Stochastic Gradient Methods and Spectral Algorithms
Junhong Lin
Volkan Cevher
82
34
0
22 Jan 2018
Entropy-SGD optimizes the prior of a PAC-Bayes bound: Generalization
  properties of Entropy-SGD and data-dependent priors
Entropy-SGD optimizes the prior of a PAC-Bayes bound: Generalization properties of Entropy-SGD and data-dependent priors
Gintare Karolina Dziugaite
Daniel M. Roy
MLT
92
145
0
26 Dec 2017
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