LF-PPL: A Low-Level First Order Probabilistic Programming Language for Non-Differentiable Models

6 March 2019

Papers citing "LF-PPL: A Low-Level First Order Probabilistic Programming Language for Non-Differentiable Models"

6 / 6 papers shown

Title
Guaranteed Bounds for Posterior Inference in Universal Probabilistic Programming Raven Beutner Luke Ong Fabian Zaiser 14 11 0 06 Apr 2022
Conditional independence by typing Maria I. Gorinova Andrew D. Gordon Charles Sutton Matthijs Vákár 21 14 0 22 Oct 2020
Stochastically Differentiable Probabilistic Programs David Tolpin Yuanshuo Zhou Hongseok Yang BDL 11 0 0 02 Mar 2020
Divide, Conquer, and Combine: a New Inference Strategy for Probabilistic Programs with Stochastic Support Yuanshuo Zhou Hongseok Yang Yee Whye Teh Tom Rainforth TPM 18 19 0 29 Oct 2019
Mixed Hamiltonian Monte Carlo for Mixed Discrete and Continuous Variables Guangyao Zhou 16 19 0 11 Sep 2019
MCMC using Hamiltonian dynamics Radford M. Neal 185 3,262 0 09 Jun 2012