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A PAC-Bayesian Analysis of Randomized Learning with Application to Stochastic Gradient Descent
19 September 2017
Ben London
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ArXiv (abs)
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Papers citing
"A PAC-Bayesian Analysis of Randomized Learning with Application to Stochastic Gradient Descent"
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Title
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
Gintare Karolina Dziugaite
Daniel M. Roy
MLT
92
145
0
26 Dec 2017
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