Deep Amortized Inference for Probabilistic Programs

Deep Amortized Inference for Probabilistic Programs

18 October 2016

Daniel E. Ritchie

Noah D. Goodman

Papers citing "Deep Amortized Inference for Probabilistic Programs"

15 / 15 papers shown

Title
Amortized Bayesian Multilevel Models Daniel Habermann Marvin Schmitt Lars Kühmichel Andreas Bulling Stefan T. Radev Paul-Christian Bürkner 67 3 0 23 Aug 2024
Graphically Structured Diffusion Models Christian Weilbach William Harvey Frank D. Wood DiffM 35 7 0 20 Oct 2022
Smoothness Analysis for Probabilistic Programs with Application to Optimised Variational Inference Wonyeol Lee Xavier Rival Hongseok Yang 18 9 0 22 Aug 2022
Variational Deep Image Restoration Jae Woong Soh N. Cho SupR 48 39 0 03 Jul 2022
Transformers Can Do Bayesian Inference Samuel G. Müller Noah Hollmann Sebastian Pineda Arango Josif Grabocka Frank Hutter BDL UQCV 22 140 0 20 Dec 2021
Nested Variational Inference Heiko Zimmermann Hao Wu Babak Esmaeili Jan-Willem van de Meent BDL 24 20 0 21 Jun 2021
Divide, Conquer, and Combine: a New Inference Strategy for Probabilistic Programs with Stochastic Support Yuanshuo Zhou Hongseok Yang Yee Whye Teh Tom Rainforth TPM 29 19 0 29 Oct 2019
Monte Carlo Gradient Estimation in Machine Learning S. Mohamed Mihaela Rosca Michael Figurnov A. Mnih 26 397 0 25 Jun 2019
Meta-learning of Sequential Strategies Pedro A. Ortega Jane X. Wang Mark Rowland Tim Genewein Z. Kurth-Nelson ... Yee Whye Teh H. V. Hasselt Nando de Freitas M. Botvinick Shane Legg OffRL 22 96 0 08 May 2019
Likelihood-free MCMC with Amortized Approximate Ratio Estimators Joeri Hermans Volodimir Begy Gilles Louppe 29 20 0 10 Mar 2019
Relational inductive biases, deep learning, and graph networks Peter W. Battaglia Jessica B. Hamrick V. Bapst Alvaro Sanchez-Gonzalez V. Zambaldi ... Pushmeet Kohli M. Botvinick Oriol Vinyals Yujia Li Razvan Pascanu AI4CE NAI 97 3,078 0 04 Jun 2018
Learning 3D Shape Completion under Weak Supervision David Stutz Andreas Geiger 3DPC SSL 35 106 0 18 May 2018
Faithful Inversion of Generative Models for Effective Amortized Inference Stefan Webb Adam Goliñski R. Zinkov Siddharth Narayanaswamy Tom Rainforth Yee Whye Teh Frank D. Wood TPM 26 46 0 01 Dec 2017
Deep Probabilistic Programming Dustin Tran Matthew D. Hoffman Rif A. Saurous E. Brevdo Kevin Patrick Murphy David M. Blei BDL 33 193 0 13 Jan 2017
Automatic differentiation in machine learning: a survey A. G. Baydin Barak A. Pearlmutter Alexey Radul J. Siskind PINN AI4CE ODL 34 2,746 0 20 Feb 2015