A Decentralized Approach to Bayesian Learning

14 July 2020

Papers citing "A Decentralized Approach to Bayesian Learning"

8 / 8 papers shown

Title
Nonasymptotic estimates for Stochastic Gradient Langevin Dynamics under local conditions in nonconvex optimization Ying Zhang Ömer Deniz Akyildiz Theodoros Damoulas Sotirios Sabanis 57 46 0 04 Oct 2019
High-Order Langevin Diffusion Yields an Accelerated MCMC Algorithm Wenlong Mou Yian Ma Martin J. Wainwright Peter L. Bartlett Michael I. Jordan DiffM 26 84 0 28 Aug 2019
Non-convex learning via Stochastic Gradient Langevin Dynamics: a nonasymptotic analysis Maxim Raginsky Alexander Rakhlin Matus Telgarsky 62 518 0 13 Feb 2017
Parallelizing MCMC with Random Partition Trees Xiangyu Wang Fangjian Guo Katherine A. Heller David B. Dunson 67 75 0 10 Jun 2015
Delving Deep into Rectifiers: Surpassing Human-Level Performance on ImageNet Classification Kaiming He Xinming Zhang Shaoqing Ren Jian Sun VLM 171 18,534 0 06 Feb 2015
Stochastic Gradient Hamiltonian Monte Carlo Tianqi Chen E. Fox Carlos Guestrin BDL 71 906 0 17 Feb 2014
Parallelizing MCMC via Weierstrass Sampler Xiangyu Wang David B. Dunson 60 137 0 17 Dec 2013
Sinkhorn Distances: Lightspeed Computation of Optimal Transportation Distances Marco Cuturi OT 133 4,210 0 04 Jun 2013