A Decentralized Approach to Bayesian Learning

14 July 2020

Papers citing "A Decentralized Approach to Bayesian Learning"

7 / 7 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 52 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 14 84 0 28 Aug 2019
Non-convex learning via Stochastic Gradient Langevin Dynamics: a nonasymptotic analysis Maxim Raginsky Alexander Rakhlin Matus Telgarsky 48 518 0 13 Feb 2017
Parallelizing MCMC with Random Partition Trees Xiangyu Wang Fangjian Guo Katherine A. Heller David B. Dunson 62 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 103 18,534 0 06 Feb 2015
Parallelizing MCMC via Weierstrass Sampler Xiangyu Wang David B. Dunson 54 137 0 17 Dec 2013
Sinkhorn Distances: Lightspeed Computation of Optimal Transportation Distances Marco Cuturi OT 93 4,210 0 04 Jun 2013