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Local Optimality and Generalization Guarantees for the Langevin
  Algorithm via Empirical Metastability

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"

2 / 2 papers shown
Title
Non-convex learning via Stochastic Gradient Langevin Dynamics: a
  nonasymptotic analysis
Non-convex learning via Stochastic Gradient Langevin Dynamics: a nonasymptotic analysis
Maxim Raginsky
Alexander Rakhlin
Matus Telgarsky
70
521
0
13 Feb 2017
Theoretical guarantees for approximate sampling from smooth and
  log-concave densities
Theoretical guarantees for approximate sampling from smooth and log-concave densities
A. Dalalyan
66
514
0
23 Dec 2014
1