Deep Amortized Inference for Probabilistic Programs

Deep Amortized Inference for Probabilistic Programs

18 October 2016

Daniel E. Ritchie

Noah D. Goodman

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Papers citing "Deep Amortized Inference for Probabilistic Programs"

19 / 19 papers shown

Title
Amortized Bayesian Multilevel Models Daniel Habermann Marvin Schmitt Lars Kühmichel Andreas Bulling Stefan T. Radev Paul-Christian Bürkner 206 4 0 23 Aug 2024
Conditional Image Generation with PixelCNN Decoders Aaron van den Oord Nal Kalchbrenner Oriol Vinyals L. Espeholt Alex Graves Koray Kavukcuoglu VLM 209 2,513 0 16 Jun 2016
Variational inference for Monte Carlo objectives A. Mnih Danilo Jimenez Rezende DRL BDL 159 290 0 22 Feb 2016
Inference Networks for Sequential Monte Carlo in Graphical Models Brooks Paige Frank Wood BDL 165 110 0 22 Feb 2016
Neural Programmer-Interpreters Scott E. Reed Nando de Freitas 98 408 0 19 Nov 2015
MuProp: Unbiased Backpropagation for Stochastic Neural Networks S. Gu Sergey Levine Ilya Sutskever A. Mnih BDL 49 143 0 16 Nov 2015
Deep Kalman Filters Rahul G. Krishnan Uri Shalit David Sontag BDL AI4TS 73 374 0 16 Nov 2015
A New Approach to Probabilistic Programming Inference Frank Wood Jan-Willem van de Meent Vikash K. Mansinghka 59 347 0 03 Jul 2015
Gradient Estimation Using Stochastic Computation Graphs John Schulman N. Heess T. Weber Pieter Abbeel OffRL 139 393 0 17 Jun 2015
Automatic Variational Inference in Stan A. Kucukelbir Rajesh Ranganath Andrew Gelman David M. Blei BDL 68 234 0 10 Jun 2015
Adam: A Method for Stochastic Optimization Diederik P. Kingma Jimmy Ba ODL 1.9K 150,115 0 22 Dec 2014
Neural Turing Machines Alex Graves Greg Wayne Ivo Danihelka 97 2,328 0 20 Oct 2014
Learning Phrase Representations using RNN Encoder-Decoder for Statistical Machine Translation Kyunghyun Cho B. V. Merrienboer Çağlar Gülçehre Dzmitry Bahdanau Fethi Bougares Holger Schwenk Yoshua Bengio AIMat 1.0K 23,354 0 03 Jun 2014
Venture: a higher-order probabilistic programming platform with programmable inference Vikash K. Mansinghka Daniel Selsam Yura N. Perov 66 256 0 01 Apr 2014
Neural Variational Inference and Learning in Belief Networks A. Mnih Karol Gregor BDL 178 729 0 31 Jan 2014
Black Box Variational Inference Rajesh Ranganath S. Gerrish David M. Blei DRL BDL 142 1,167 0 31 Dec 2013
Automated Variational Inference in Probabilistic Programming David Wingate T. Weber BDL TPM 91 138 0 07 Jan 2013
Church: a language for generative models Noah D. Goodman Vikash K. Mansinghka Daniel M. Roy Keith Bonawitz J. Tenenbaum 104 819 0 13 Jun 2012
Variational Program Inference G. Harik Noam M. Shazeer 100 3 0 04 Jun 2010

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