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Automating Involutive MCMC using Probabilistic and Differentiable
  Programming

Automating Involutive MCMC using Probabilistic and Differentiable Programming

20 July 2020
Marco F. Cusumano-Towner
Alexander K. Lew
Vikash K. Mansinghka
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Papers citing "Automating Involutive MCMC using Probabilistic and Differentiable Programming"

5 / 5 papers shown
Title
Probabilistic Regular Tree Priors for Scientific Symbolic Reasoning
Probabilistic Regular Tree Priors for Scientific Symbolic Reasoning
Tim Schneider
A. Totounferoush
Wolfgang Nowak
Steffen Staab
26
0
0
14 Jun 2023
Nonparametric Involutive Markov Chain Monte Carlo
Nonparametric Involutive Markov Chain Monte Carlo
Carol Mak
Fabian Zaiser
C. Ong
27
1
0
02 Nov 2022
3DP3: 3D Scene Perception via Probabilistic Programming
3DP3: 3D Scene Perception via Probabilistic Programming
Nishad Gothoskar
Marco F. Cusumano-Towner
Ben Zinberg
Matin Ghavamizadeh
Falk Pollok
A. Garrett
J. Tenenbaum
Dan Gutfreund
Vikash K. Mansinghka
3DV
21
48
0
30 Oct 2021
A general perspective on the Metropolis-Hastings kernel
A general perspective on the Metropolis-Hastings kernel
Christophe Andrieu
Anthony Lee
Samuel Livingstone
31
24
0
29 Dec 2020
Involutive MCMC: a Unifying Framework
Involutive MCMC: a Unifying Framework
Kirill Neklyudov
Max Welling
Evgenii Egorov
Dmitry Vetrov
18
36
0
30 Jun 2020
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