Composing inference algorithms as program transformations

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Composing inference algorithms as program transformations

6 March 2016

Chung-chieh Shan

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Papers citing "Composing inference algorithms as program transformations"

9 / 9 papers shown

Title
Beyond Bayesian Model Averaging over Paths in Probabilistic Programs with Stochastic Support Tim Reichelt C.-H. Luke Ong Tom Rainforth 59 0 0 23 Oct 2023
Recursive Monte Carlo and Variational Inference with Auxiliary Variables Alexander K. Lew Marco F. Cusumano-Towner Vikash K. Mansinghka BDL 60 11 0 05 Mar 2022
Expectation Programming: Adapting Probabilistic Programming Systems to Estimate Expectations Efficiently Tim Reichelt Adam Goliñski C.-H. Luke Ong Tom Rainforth TPM 60 0 0 09 Jun 2021
Learning Proposals for Probabilistic Programs with Inference Combinators Sam Stites Heiko Zimmermann Hao Wu Eli Sennesh Jan-Willem van de Meent NAI 84 16 0 01 Mar 2021
Automatic Reparameterisation of Probabilistic Programs Maria I. Gorinova Dave Moore Matthew D. Hoffman 63 29 0 07 Jun 2019
Composing Modeling and Inference Operations with Probabilistic Program Combinators Eli Sennesh Adam Scibior Hao Wu Jan-Willem van de Meent TPM 29 1 0 14 Nov 2018
Nesting Probabilistic Programs Tom Rainforth TPM 68 24 0 16 Mar 2018
Bayesian Optimization for Probabilistic Programs Tom Rainforth T. Le Jan-Willem van de Meent Michael A. Osborne Frank Wood TPM 72 27 0 13 Jul 2017
Deep Probabilistic Programming Dustin Tran Matthew D. Hoffman Rif A. Saurous E. Brevdo Kevin Patrick Murphy David M. Blei BDL 142 193 0 13 Jan 2017