Distributed Estimation, Information Loss and Exponential Families

9 October 2014

Papers citing "Distributed Estimation, Information Loss and Exponential Families"

19 / 19 papers shown

Title
Byzantine-tolerant distributed learning of finite mixture models Qiong Zhang Jiahua Chen Jiahua Chen FedML 144 0 0 19 Jul 2024
A review of distributed statistical inference Yuan Gao Weidong Liu Hansheng Wang Xiaozhou Wang Yibo Yan Riquan Zhang 74 43 0 13 Apr 2023
Federated Averaging Langevin Dynamics: Toward a unified theory and new algorithms Vincent Plassier Alain Durmus Eric Moulines FedML 111 7 0 31 Oct 2022
Distributed Estimation and Inference for Spatial Autoregression Model with Large Scale Networks Yi Ren Zhe Li Xuening Zhu Yuan Gao Hansheng Wang 30 3 0 29 Oct 2022
Communication-efficient Distributed Newton-like Optimization with Gradients and M-estimators Ziyan Yin 77 0 0 13 Jul 2022
A Sequential Addressing Subsampling Method for Massive Data Analysis under Memory Constraint Rui Pan Yingqiu Zhu Baishan Guo Xuening Zhu Hansheng Wang 38 5 0 03 Oct 2021
Distributed Learning of Finite Gaussian Mixtures Qiong Zhang Jiahua Chen 104 8 0 20 Oct 2020
Federated Generalized Bayesian Learning via Distributed Stein Variational Gradient Descent Rahif Kassab Osvaldo Simeone FedML 93 46 0 11 Sep 2020
Distributed ARIMA Models for Ultra-long Time Series Xiaoqian Wang Yanfei Kang Rob J. Hyndman Feng Li AI4TS 120 53 0 19 Jul 2020
Gaussian Mixture Reduction with Composite Transportation Divergence Qiong Zhang Archer Gong Zhang Jiahua Chen 45 4 0 19 Feb 2020
Least Squares Approximation for a Distributed System Xuening Zhu Feng Li Hansheng Wang 48 56 0 14 Aug 2019
Distributed linear regression by averaging Yan Sun Yueqi Sheng FedML 94 66 0 30 Sep 2018
On $w$ -mixtures: Finite convex combinations of prescribed component distributions Frank Nielsen Richard Nock CoGe 68 11 0 02 Aug 2017
Learning of Gaussian Processes in Distributed and Communication Limited Systems Mostafa Tavassolipour S. Motahari M. Manzuri-Shalmani 51 22 0 07 May 2017
Fast Learning from Distributed Datasets without Entity Matching Giorgio Patrini Richard Nock Stephen Hardy Tibério S. Caetano 52 12 0 13 Mar 2016
A Distributed One-Step Estimator Cheng Huang X. Huo FedML 134 84 0 04 Nov 2015
DUAL-LOCO: Distributing Statistical Estimation Using Random Projections C. Heinze Brian McWilliams N. Meinshausen 134 37 0 08 Jun 2015
On the Optimality of Averaging in Distributed Statistical Learning Jonathan D. Rosenblatt B. Nadler FedML 122 111 0 10 Jul 2014
LOCO: Distributing Ridge Regression with Random Projections C. Heinze Brian McWilliams N. Meinshausen Gabriel Krummenacher 132 34 0 13 Jun 2014