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Entropic Matching for Expectation Propagation of Markov Jump Processes
v1v2 (latest)

Entropic Matching for Expectation Propagation of Markov Jump Processes

27 September 2023
Bastian Alt
Heinz Koeppl
Heinz Koeppl
ArXiv (abs)PDFHTML

Papers citing "Entropic Matching for Expectation Propagation of Markov Jump Processes"

14 / 14 papers shown
Title
Approximate Control for Continuous-Time POMDPs
Approximate Control for Continuous-Time POMDPs
Yannick Eich
Bastian Alt
Heinz Koeppl
50
1
0
02 Feb 2024
Neural Markov Jump Processes
Neural Markov Jump Processes
Patrick Seifner
Ramses J. Sanchez
BDL
60
8
0
31 May 2023
Discrete Langevin Sampler via Wasserstein Gradient Flow
Discrete Langevin Sampler via Wasserstein Gradient Flow
Haoran Sun
H. Dai
Bo Dai
Haomin Zhou
Dale Schuurmans
BDL
71
24
0
29 Jun 2022
Accelerating inference for stochastic kinetic models
Accelerating inference for stochastic kinetic models
Tom Lowe
Andrew Golightly
Chris Sherlock
55
5
0
06 Jun 2022
Moment-Based Variational Inference for Markov Jump Processes
Moment-Based Variational Inference for Markov Jump Processes
C. Wildner
Heinz Koeppl
56
10
0
14 May 2019
Continuous-discrete smoothing of diffusions
Continuous-discrete smoothing of diffusions
Marcin Mider
Moritz Schauer
Frank van der Meulen
26
30
0
11 Dec 2017
Composing graphical models with neural networks for structured
  representations and fast inference
Composing graphical models with neural networks for structured representations and fast inference
Matthew J. Johnson
David Duvenaud
Alexander B. Wiltschko
S. R. Datta
Ryan P. Adams
BDLOCL
92
485
0
20 Mar 2016
Expectation propagation for continuous time stochastic processes
Expectation propagation for continuous time stochastic processes
Botond Cseke
David Schnoerr
Manfred Opper
G. Sanguinetti
49
19
0
18 Dec 2015
On Sparse variational methods and the Kullback-Leibler divergence
  between stochastic processes
On Sparse variational methods and the Kullback-Leibler divergence between stochastic processes
A. G. Matthews
J. Hensman
Richard Turner
Zoubin Ghahramani
84
192
0
27 Apr 2015
Expectation propagation as a way of life: A framework for Bayesian
  inference on partitioned data
Expectation propagation as a way of life: A framework for Bayesian inference on partitioned data
Aki Vehtari
Andrew Gelman
Tuomas Sivula
Pasi Jylänki
Dustin Tran
Swupnil Sahai
Paul Blomstedt
John P. Cunningham
D. Schiminovich
Christian P. Robert
70
24
0
16 Dec 2014
Bayesian inference for Markov jump processes with informative
  observations
Bayesian inference for Markov jump processes with informative observations
Andrew Golightly
D. Wilkinson
70
39
0
15 Sep 2014
Delayed acceptance particle MCMC for exact inference in stochastic
  kinetic models
Delayed acceptance particle MCMC for exact inference in stochastic kinetic models
Andrew Golightly
D. Henderson
Chris Sherlock
78
81
0
17 Jan 2014
Fast MCMC sampling for Markov jump processes and extensions
Fast MCMC sampling for Markov jump processes and extensions
Vinayak A. Rao
Yee Whye Teh
85
117
0
23 Aug 2012
Mean Field Variational Approximation for Continuous-Time Bayesian
  Networks
Mean Field Variational Approximation for Continuous-Time Bayesian Networks
Ido Cohn
T. El-Hay
N. Friedman
R. Kupferman
99
72
0
09 May 2012
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