Fast Mixing of Multi-Scale Langevin Dynamics under the Manifold
Hypothesis

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Fast Mixing of Multi-Scale Langevin Dynamics under the Manifold Hypothesis

19 June 2020

Alexander Rakhlin

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Papers citing "Fast Mixing of Multi-Scale Langevin Dynamics under the Manifold Hypothesis"

9 / 9 papers shown

Title
Creating High Resolution Images with a Latent Adversarial Generator David Berthelot P. Milanfar Ian Goodfellow GAN 53 18 0 04 Mar 2020
Fast Convergence for Langevin Diffusion with Manifold Structure Ankur Moitra Andrej Risteski 40 7 0 13 Feb 2020
Consistency Regularization for Generative Adversarial Networks Han Zhang Zizhao Zhang Augustus Odena Honglak Lee GAN 66 285 0 26 Oct 2019
Generative Modeling by Estimating Gradients of the Data Distribution Yang Song Stefano Ermon SyDa DiffM 258 3,916 0 12 Jul 2019
Stochastic Runge-Kutta Accelerates Langevin Monte Carlo and Beyond Xuechen Li Denny Wu Lester W. Mackey Murat A. Erdogdu 52 71 0 19 Jun 2019
Beyond Log-concavity: Provable Guarantees for Sampling Multi-modal Distributions using Simulated Tempering Langevin Monte Carlo Rong Ge Holden Lee Andrej Risteski 73 53 0 07 Oct 2017
A-NICE-MC: Adversarial Training for MCMC Jiaming Song Shengjia Zhao Stefano Ermon BDL OOD 79 110 0 23 Jun 2017
Non-convex learning via Stochastic Gradient Langevin Dynamics: a nonasymptotic analysis Maxim Raginsky Alexander Rakhlin Matus Telgarsky 73 521 0 13 Feb 2017
Testing the Manifold Hypothesis Charles Fefferman S. Mitter Hariharan Narayanan 151 534 0 01 Oct 2013