Statistical Model Aggregation via Parameter Matching

Statistical Model Aggregation via Parameter Matching

1 November 2019

Mikhail Yurochkin

Kristjan Greenewald

Papers citing "Statistical Model Aggregation via Parameter Matching"

14 / 14 papers shown

Title
Bayesian Nonparametric Federated Learning of Neural Networks Mikhail Yurochkin Mayank Agarwal S. Ghosh Kristjan Greenewald T. Hoang Y. Khazaeni FedML 124 728 0 28 May 2019
Scalable inference of topic evolution via models for latent geometric structures Mikhail Yurochkin Zhiwei Fan Aritra Guha Paraschos Koutris X. Nguyen 45 11 0 24 Sep 2018
Collective Online Learning of Gaussian Processes in Massive Multi-Agent Systems T. Hoang Q. Hoang K. H. Low Jonathan P. How 32 7 0 23 May 2018
Decentralized High-Dimensional Bayesian Optimization with Factor Graphs T. Hoang Q. Hoang Ruofei Ouyang K. H. Low 59 54 0 19 Nov 2017
Differentially Private Bayesian Learning on Distributed Data Mikko A. Heikkilä Eemil Lagerspetz Samuel Kaski Kana Shimizu Sasu Tarkoma Antti Honkela FedML 134 59 0 03 Mar 2017
Understanding Probabilistic Sparse Gaussian Process Approximations Matthias Bauer Mark van der Wilk C. Rasmussen 44 259 0 15 Jun 2016
Bayesian inference in hierarchical models by combining independent posteriors Ritabrata Dutta P. Blomstedt Samuel Kaski TPM 23 2 0 30 Mar 2016
Communication-Efficient Learning of Deep Networks from Decentralized Data H. B. McMahan Eider Moore Daniel Ramage S. Hampson Blaise Agüera y Arcas FedML 380 17,437 0 17 Feb 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 132 70 0 31 Dec 2015
Streaming, Distributed Variational Inference for Bayesian Nonparametrics Trevor Campbell Julian Straub John W. Fisher III Jonathan P. How 45 41 0 30 Oct 2015
Automatic differentiation in machine learning: a survey A. G. Baydin Barak A. Pearlmutter Alexey Radul J. Siskind PINN AI4CE ODL 154 2,796 0 20 Feb 2015
Distributed Gaussian Processes M. Deisenroth Jun Wei Ng GP 68 341 0 10 Feb 2015
Distributed Variational Inference in Sparse Gaussian Process Regression and Latent Variable Models Y. Gal Mark van der Wilk C. Rasmussen 67 150 0 06 Feb 2014
Joint modeling of multiple time series via the beta process with application to motion capture segmentation E. Fox M. C. Hughes Erik B. Sudderth Michael I. Jordan 83 96 0 22 Aug 2013