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Distributed Estimation, Information Loss and Exponential Families

Distributed Estimation, Information Loss and Exponential Families

9 October 2014
Qiang Liu
Alexander Ihler
    FedML
ArXiv (abs)PDFHTML

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

6 / 6 papers shown
Title
Byzantine-tolerant distributed learning of finite mixture models
Byzantine-tolerant distributed learning of finite mixture models
Qiong Zhang
Jiahua Chen
Jiahua Chen
FedML
126
0
0
19 Jul 2024
Parallelizing MCMC via Weierstrass Sampler
Parallelizing MCMC via Weierstrass Sampler
Xiangyu Wang
David B. Dunson
97
138
0
17 Dec 2013
Asymptotically Exact, Embarrassingly Parallel MCMC
Asymptotically Exact, Embarrassingly Parallel MCMC
Willie Neiswanger
Chong-Jun Wang
Eric Xing
FedML
86
330
0
19 Nov 2013
Fundamental Limits of Online and Distributed Algorithms for Statistical
  Learning and Estimation
Fundamental Limits of Online and Distributed Algorithms for Statistical Learning and Estimation
Ohad Shamir
104
108
0
14 Nov 2013
Distributed k-Means and k-Median Clustering on General Topologies
Distributed k-Means and k-Median Clustering on General Topologies
Maria-Florina Balcan
Steven Ehrlich
Yingyu Liang
172
124
0
03 Jun 2013
Distributed Parameter Estimation via Pseudo-likelihood
Distributed Parameter Estimation via Pseudo-likelihood
Qiang Liu
Alexander Ihler
64
34
0
27 Jun 2012
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