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Dimension-free convergence rates for gradient Langevin dynamics in RKHS

29 February 2020

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

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Title
Deep Stochastic Mechanics Elena Orlova Aleksei Ustimenko Ruoxi Jiang Peter Y. Lu Rebecca Willett DiffM 85 0 0 31 May 2023
Benefit of deep learning with non-convex noisy gradient descent: Provable excess risk bound and superiority to kernel methods Taiji Suzuki Shunta Akiyama MLT 65 12 0 06 Dec 2020