Stochastic Gradient MCMC with Stale Gradients

21 October 2016

Lawrence Carin

Papers citing "Stochastic Gradient MCMC with Stale Gradients"

22 / 22 papers shown

Title
Distributed Stochastic Gradient Descent with Staleness: A Stochastic Delay Differential Equation Based Framework Siyuan Yu Wei Chen H. V. Poor 66 0 0 17 Jun 2024
On the Convergence of Stochastic Gradient MCMC Algorithms with High-Order Integrators Changyou Chen Nan Ding Lawrence Carin 66 161 0 21 Oct 2016
Distributed Bayesian Learning with Stochastic Natural-gradient Expectation Propagation and the Posterior Server Leonard Hasenclever Stefan Webb Thibaut Lienart Sebastian J. Vollmer Balaji Lakshminarayanan Charles Blundell Yee Whye Teh BDL 138 70 0 31 Dec 2015
Preconditioned Stochastic Gradient Langevin Dynamics for Deep Neural Networks Chunyuan Li Changyou Chen David Carlson Lawrence Carin ODL BDL 83 325 0 23 Dec 2015
MXNet: A Flexible and Efficient Machine Learning Library for Heterogeneous Distributed Systems Tianqi Chen Mu Li Yutian Li Min Lin Naiyan Wang Minjie Wang Tianjun Xiao Bing Xu Chiyuan Zhang Zheng Zhang 196 2,246 0 03 Dec 2015
Asynchronous stochastic convex optimization John C. Duchi Sorathan Chaturapruek Christopher Ré 46 87 0 04 Aug 2015
Asynchronous Parallel Stochastic Gradient for Nonconvex Optimization Xiangru Lian Yijun Huang Y. Li Ji Liu 135 499 0 27 Jun 2015
A Complete Recipe for Stochastic Gradient MCMC Yian Ma Tianqi Chen E. Fox BDL SyDa 60 486 0 15 Jun 2015
Parallelizing MCMC with Random Partition Trees Xiangyu Wang Fangjian Guo Katherine A. Heller David B. Dunson 80 76 0 10 Jun 2015
Variational consensus Monte Carlo Maxim Rabinovich E. Angelino Michael I. Jordan 70 50 0 09 Jun 2015
Parallel Stochastic Gradient Markov Chain Monte Carlo for Matrix Factorisation Models Umut Simsekli Hazal Koptagel Hakan Güldaş taylan. cemgil Figen Oztoprak Ilker Birbil 60 12 0 03 Jun 2015
Weight Uncertainty in Neural Networks Charles Blundell Julien Cornebise Koray Kavukcuoglu Daan Wierstra UQCV BDL 185 1,886 0 20 May 2015
An Asynchronous Mini-Batch Algorithm for Regularized Stochastic Optimization Hamid Reza Feyzmahdavian Arda Aytekin M. Johansson 51 117 0 18 May 2015
On Markov chain Monte Carlo methods for tall data Rémi Bardenet Arnaud Doucet Chris Holmes 71 279 0 11 May 2015
Large-Scale Distributed Bayesian Matrix Factorization using Stochastic Gradient MCMC Sungjin Ahn Anoop Korattikara Balan Nathan Liu Suju Rajan Max Welling BDL 81 59 0 05 Mar 2015
(Non-) asymptotic properties of Stochastic Gradient Langevin Dynamics Sebastian J. Vollmer K. Zygalakis and Yee Whye Teh 78 49 0 02 Jan 2015
Deep learning with Elastic Averaging SGD Sixin Zhang A. Choromańska Yann LeCun FedML 96 610 0 20 Dec 2014
Caffe: Convolutional Architecture for Fast Feature Embedding Yangqing Jia Evan Shelhamer Jeff Donahue Sergey Karayev Jonathan Long Ross B. Girshick S. Guadarrama Trevor Darrell VLM BDL 3DV 271 14,707 0 20 Jun 2014
Stochastic Gradient Hamiltonian Monte Carlo Tianqi Chen E. Fox Carlos Guestrin BDL 104 908 0 17 Feb 2014
Asymptotically Exact, Embarrassingly Parallel MCMC Willie Neiswanger Chong-Jun Wang Eric Xing FedML 83 330 0 19 Nov 2013
HOGWILD!: A Lock-Free Approach to Parallelizing Stochastic Gradient Descent Feng Niu Benjamin Recht Christopher Ré Stephen J. Wright 191 2,273 0 28 Jun 2011
Distributed Delayed Stochastic Optimization Alekh Agarwal John C. Duchi 123 626 0 28 Apr 2011