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Waste-free Sequential Monte Carlo
v1v2 (latest)

Waste-free Sequential Monte Carlo

4 November 2020
Hai-Dang Dau
Nicolas Chopin
ArXiv (abs)PDFHTML

Papers citing "Waste-free Sequential Monte Carlo"

7 / 7 papers shown
Title
Persistent Sampling: Enhancing the Efficiency of Sequential Monte Carlo
Persistent Sampling: Enhancing the Efficiency of Sequential Monte Carlo
M. Karamanis
U. Seljak
78
0
0
30 Jul 2024
On Feynman--Kac training of partial Bayesian neural networks
On Feynman--Kac training of partial Bayesian neural networks
Zheng Zhao
Sebastian Mair
Thomas B. Schön
Jens Sjölund
74
0
0
30 Oct 2023
A connection between Tempering and Entropic Mirror Descent
A connection between Tempering and Entropic Mirror Descent
Nicolas Chopin
F. R. Crucinio
Anna Korba
58
14
0
18 Oct 2023
Generative Filtering for Recursive Bayesian Inference with Streaming
  Data
Generative Filtering for Recursive Bayesian Inference with Streaming Data
Ian Taylor
Andee Kaplan
Brenda Betancourt
50
0
0
25 Sep 2023
Scalable Bayesian bi-level variable selection in generalized linear
  models
Scalable Bayesian bi-level variable selection in generalized linear models
Younès Youssfi
Nicolas Chopin
50
0
0
22 Mar 2023
Reliable Bayesian Inference in Misspecified Models
Reliable Bayesian Inference in Misspecified Models
David T. Frazier
Robert Kohn
Christopher C. Drovandi
David Gunawan
67
5
0
13 Feb 2023
An invitation to sequential Monte Carlo samplers
An invitation to sequential Monte Carlo samplers
Chenguang Dai
J. Heng
Pierre E. Jacob
N. Whiteley
132
68
0
23 Jul 2020
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