Automating Involutive MCMC using Probabilistic and Differentiable Programming

20 July 2020

Papers citing "Automating Involutive MCMC using Probabilistic and Differentiable Programming"

7 / 7 papers shown

Title
Probabilistic Regular Tree Priors for Scientific Symbolic Reasoning Tim Schneider A. Totounferoush Wolfgang Nowak Steffen Staab 28 0 0 14 Jun 2023
ADEV: Sound Automatic Differentiation of Expected Values of Probabilistic Programs Alexander K. Lew Mathieu Huot S. Staton Vikash K. Mansinghka 22 20 0 13 Dec 2022
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 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 Christophe Andrieu Anthony Lee Samuel Livingstone 31 24 0 29 Dec 2020
Involutive MCMC: a Unifying Framework Kirill Neklyudov Max Welling Evgenii Egorov Dmitry Vetrov 23 36 0 30 Jun 2020
Online Bayesian Goal Inference for Boundedly-Rational Planning Agents Zhi-Xuan Tan Jordyn L. Mann Tom Silver J. Tenenbaum Vikash K. Mansinghka OffRL 10 89 0 13 Jun 2020