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Sampling and Inference for Beta Neutral-to-the-Left Models of Sparse
  Networks

Sampling and Inference for Beta Neutral-to-the-Left Models of Sparse Networks

Conference on Uncertainty in Artificial Intelligence (UAI), 2018
9 July 2018
Benjamin Bloem-Reddy
Adam Foster
Emile Mathieu
Yee Whye Teh
ArXiv (abs)PDFHTML

Papers citing "Sampling and Inference for Beta Neutral-to-the-Left Models of Sparse Networks"

5 / 5 papers shown
From Cubes to Networks: Fast Generic Model for Synthetic Networks
  Generation
From Cubes to Networks: Fast Generic Model for Synthetic Networks Generation
Shaojie Min
Ji Liu
225
0
0
05 Nov 2022
Fast Generation of Exchangeable Sequence of Clusters Data
Fast Generation of Exchangeable Sequence of Clusters DataStatistics and computing (Stat. Comput.), 2022
Keith D. Levin
Brenda Betancourt
210
0
0
06 Sep 2022
Root and community inference on the latent growth process of a network
Root and community inference on the latent growth process of a network
Harry Crane
Min Xu
403
10
0
01 Jul 2021
Random Partition Models for Microclustering Tasks
Random Partition Models for Microclustering TasksJournal of the American Statistical Association (JASA), 2020
Brenda Betancourt
T. Rigon
R. Steorts
170
26
0
04 Apr 2020
Random Walk Models of Network Formation and Sequential Monte Carlo
  Methods for Graphs
Random Walk Models of Network Formation and Sequential Monte Carlo Methods for Graphs
Benjamin Bloem-Reddy
Peter Orbanz
319
23
0
19 Dec 2016
1
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