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1802.06439
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Local Optimality and Generalization Guarantees for the Langevin Algorithm via Empirical Metastability
18 February 2018
Belinda Tzen
Tengyuan Liang
Maxim Raginsky
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Papers citing
"Local Optimality and Generalization Guarantees for the Langevin Algorithm via Empirical Metastability"
6 / 6 papers shown
Title
Natasha 2: Faster Non-Convex Optimization Than SGD
Zeyuan Allen-Zhu
ODL
64
245
0
29 Aug 2017
A Hitting Time Analysis of Stochastic Gradient Langevin Dynamics
Yuchen Zhang
Percy Liang
Moses Charikar
61
236
0
18 Feb 2017
Non-convex learning via Stochastic Gradient Langevin Dynamics: a nonasymptotic analysis
Maxim Raginsky
Alexander Rakhlin
Matus Telgarsky
70
521
0
13 Feb 2017
Natasha: Faster Non-Convex Stochastic Optimization Via Strongly Non-Convex Parameter
Zeyuan Allen-Zhu
57
80
0
02 Feb 2017
The Landscape of Empirical Risk for Non-convex Losses
Song Mei
Yu Bai
Andrea Montanari
94
312
0
22 Jul 2016
Theoretical guarantees for approximate sampling from smooth and log-concave densities
A. Dalalyan
66
514
0
23 Dec 2014
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