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Dimension-free convergence rates for gradient Langevin dynamics in RKHS

Dimension-free convergence rates for gradient Langevin dynamics in RKHS

29 February 2020
Boris Muzellec
Kanji Sato
Mathurin Massias
Taiji Suzuki
ArXivPDFHTML

Papers citing "Dimension-free convergence rates for gradient Langevin dynamics in RKHS"

3 / 3 papers shown
Title
Deep Stochastic Mechanics
Deep Stochastic Mechanics
Elena Orlova
Aleksei Ustimenko
Ruoxi Jiang
Peter Y. Lu
Rebecca Willett
DiffM
43
0
0
31 May 2023
Uniform Generalization Bound on Time and Inverse Temperature for
  Gradient Descent Algorithm and its Application to Analysis of Simulated
  Annealing
Uniform Generalization Bound on Time and Inverse Temperature for Gradient Descent Algorithm and its Application to Analysis of Simulated Annealing
Keisuke Suzuki
AI4CE
30
0
0
25 May 2022
Weak Convergence of Approximate reflection coupling and its Application
  to Non-convex Optimization
Weak Convergence of Approximate reflection coupling and its Application to Non-convex Optimization
Keisuke Suzuki
22
5
0
24 May 2022
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