Pyro: Deep Universal Probabilistic Programming

Pyro: Deep Universal Probabilistic Programming

18 October 2018

Jonathan P. Chen

Theofanis Karaletsos

Paul A. Szerlip

Noah D. Goodman

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Papers citing "Pyro: Deep Universal Probabilistic Programming"

16 / 16 papers shown

Title
JaxSGMC: Modular stochastic gradient MCMC in JAX Stephan Thaler Paul Fuchs Ana Cukarska Julija Zavadlav BDL 203 2 0 16 May 2025
LLM-Guided Probabilistic Program Induction for POMDP Model Estimation Aidan Curtis Hao Tang Thiago Veloso Kevin Ellis Joshua B. Tenenbaum Tomás Lozano-Pérez Leslie Pack Kaelbling 374 1 0 04 May 2025
The Odyssey of the Fittest: Can Agents Survive and Still Be Good? Dylan Waldner Risto Miikkulainen 103 0 0 08 Feb 2025
Hamiltonian Monte Carlo Inference of Marginalized Linear Mixed-Effects Models Jinlin Lai Justin Domke Daniel Sheldon 94 0 0 31 Oct 2024
Confidence-weighted integration of human and machine judgments for superior decision-making Felipe Yánez Xiaoliang Luo Omar Valerio Minero Bradley C. Love 102 2 0 15 Aug 2024
Scalable Bayesian Learning with posteriors Samuel Duffield Kaelan Donatella Johnathan Chiu Phoebe Klett Daniel Simpson BDL UQCV 140 2 0 31 May 2024
Contextual Causal Bayesian Optimisation Vahan Arsenyan Antoine Grosnit Haitham Bou-Ammar CML 74 2 0 29 Jan 2023
Deep Structural Causal Models for Tractable Counterfactual Inference Nick Pawlowski Daniel Coelho De Castro Ben Glocker CML MedIm 106 242 0 11 Jun 2020
TensorFlow Distributions Joshua V. Dillon I. Langmore Dustin Tran E. Brevdo Srinivas Vasudevan David A. Moore Brian Patton Alexander A. Alemi Matt Hoffman Rif A. Saurous GP 104 352 0 28 Nov 2017
Learning Disentangled Representations with Semi-Supervised Deep Generative Models Siddharth Narayanaswamy Brooks Paige Jan-Willem van de Meent Alban Desmaison Noah D. Goodman Pushmeet Kohli Frank Wood Philip Torr DRL CoGe 131 363 0 01 Jun 2017
Deep Probabilistic Programming Dustin Tran Matthew D. Hoffman Rif A. Saurous E. Brevdo Kevin Patrick Murphy David M. Blei BDL 108 193 0 13 Jan 2017
Structured Inference Networks for Nonlinear State Space Models Rahul G. Krishnan Uri Shalit David Sontag BDL 93 459 0 30 Sep 2016
Improving Variational Inference with Inverse Autoregressive Flow Diederik P. Kingma Tim Salimans Rafal Jozefowicz Xi Chen Ilya Sutskever Max Welling BDL DRL 142 1,823 0 15 Jun 2016
Auto-Encoding Variational Bayes Diederik P. Kingma Max Welling BDL 455 16,923 0 20 Dec 2013
Church: a language for generative models Noah D. Goodman Vikash K. Mansinghka Daniel M. Roy Keith Bonawitz J. Tenenbaum 107 819 0 13 Jun 2012
The No-U-Turn Sampler: Adaptively Setting Path Lengths in Hamiltonian Monte Carlo Matthew D. Hoffman Andrew Gelman 169 4,309 0 18 Nov 2011

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