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Church: a language for generative models

13 June 2012

Papers citing "Church: a language for generative models"

50 / 178 papers shown

Title
DynamicPPL: Stan-like Speed for Dynamic Probabilistic Models Mohamed Tarek Kai Xu Martin Trapp Hong Ge Zoubin Ghahramani 43 7 0 07 Feb 2020
Stochastic Probabilistic Programs David Tolpin Tomer Dobkin 39 0 0 08 Jan 2020
Blang: Bayesian declarative modelling of general data structures and inference via algorithms based on distribution continua Alexandre Bouchard-Côté Kevin Chern Davor Cubranic Sahand Hosseini Justin Hume Matteo Lepur Zihui Ouyang G. Sgarbi 31 6 0 22 Dec 2019
Bayesian causal inference via probabilistic program synthesis Sam Witty Alexander K. Lew David D. Jensen Vikash K. Mansinghka 83 3 0 30 Oct 2019
Divide, Conquer, and Combine: a New Inference Strategy for Probabilistic Programs with Stochastic Support Yuanshuo Zhou Hongseok Yang Yee Whye Teh Tom Rainforth TPM 70 20 0 29 Oct 2019
Attention for Inference Compilation William Harvey Andreas Munk A. G. Baydin Alexander Bergholm Frank Wood 57 9 0 25 Oct 2019
Probabilistic Surrogate Networks for Simulators with Unbounded Randomness Andreas Munk Berend Zwartsenberg Adam Scibior A. G. Baydin Andrew Stewart G. Fernlund A. Poursartip Frank Wood TPM 66 4 0 25 Oct 2019
Amortized Rejection Sampling in Universal Probabilistic Programming Saeid Naderiparizi Adam Scibior Andreas Munk Mehrdad Ghadiri A. G. Baydin ... R. Zinkov Philip Torr Tom Rainforth Yee Whye Teh Frank Wood 69 7 0 20 Oct 2019
MultiVerse: Causal Reasoning using Importance Sampling in Probabilistic Programming Yura N. Perov L. Graham Kostis Gourgoulias Jonathan G. Richens Ciarán M. Gilligan-Lee Adam Baker Saurabh Johri LRM 60 17 0 17 Oct 2019
Static Analysis for Probabilistic Programs Ryan Bernstein TPM 58 20 0 10 Sep 2019
Towards Verified Stochastic Variational Inference for Probabilistic Programs Wonyeol Lee Hangyeol Yu Xavier Rival Hongseok Yang 70 26 0 20 Jul 2019
Bayesian Synthesis of Probabilistic Programs for Automatic Data Modeling Feras A. Saad Marco F. Cusumano-Towner Ulrich Schaechtle Martin Rinard Vikash K. Mansinghka 58 62 0 14 Jul 2019
Probabilistic programming for birth-death models of evolution using an alive particle filter with delayed sampling J. Kudlicka Lawrence M. Murray F. Ronquist Thomas B. Schon 63 10 0 10 Jul 2019
On Open-Universe Causal Reasoning D. Ibeling Thomas Icard LRM AI4CE 49 9 0 04 Jul 2019
Deployable probabilistic programming David Tolpin TPM 104 7 0 20 Jun 2019
Declarative Learning-Based Programming as an Interface to AI Systems Parisa Kordjamshidi Dan Roth Kristian Kersting 74 4 0 18 Jun 2019
People infer recursive visual concepts from just a few examples Brenden M. Lake Steven T Piantadosi BDL DRL 57 41 0 17 Apr 2019
Tea: A High-level Language and Runtime System for Automating Statistical Analysis Eunice Jun Maureen Daum Jared Roesch Sarah E. Chasins E. Berger René Just Katharina Reinecke 65 36 0 10 Apr 2019
The Random Conditional Distribution for Higher-Order Probabilistic Inference Zenna Tavares Xin Zhang Edgar Minaysan Javier Burroni Rajesh Ranganath Armando Solar-Lezama 45 9 0 25 Mar 2019
Applying Probabilistic Programming to Affective Computing Desmond C. Ong Harold Soh Jamil Zaki Noah D. Goodman 122 20 0 15 Mar 2019
LF-PPL: A Low-Level First Order Probabilistic Programming Language for Non-Differentiable Models Yuanshuo Zhou Bradley Gram-Hansen Tobias Kohn Tom Rainforth Hongseok Yang Frank Wood 80 25 0 06 Mar 2019
Soft Constraints for Inference with Declarative Knowledge Zenna Tavares Javier Burroni Edgar Minaysan Armando Solar-Lezama Rajesh Ranganath 41 2 0 16 Jan 2019
Whittemore: An embedded domain specific language for causal programming Joshua Brulé 16 1 0 21 Dec 2018
Traceability of Deep Neural Networks Vincent Aravantinos Frederik Diehl 51 12 0 17 Dec 2018
A Generalization of Hierarchical Exchangeability on Trees to Directed Acyclic Graphs Paul Jung Jiho Lee S. Staton Hongseok Yang 45 9 0 15 Dec 2018
Doubly Bayesian Optimization Alexander Lavin 38 0 0 11 Dec 2018
Bayesian Layers: A Module for Neural Network Uncertainty Dustin Tran Michael W. Dusenberry Mark van der Wilk Danijar Hafner UQCV BDL 131 124 0 10 Dec 2018
Nested Reasoning About Autonomous Agents Using Probabilistic Programs I. Seaman Jan-Willem van de Meent David Wingate LRM 83 13 0 04 Dec 2018
Probabilistic Programming with Densities in SlicStan: Efficient, Flexible and Deterministic Maria I. Gorinova Andrew D. Gordon Charles Sutton 77 24 0 02 Nov 2018
Pyro: Deep Universal Probabilistic Programming Eli Bingham Jonathan P. Chen M. Jankowiak F. Obermeyer Neeraj Pradhan Theofanis Karaletsos Rohit Singh Paul A. Szerlip Paul Horsfall Noah D. Goodman BDL GP 162 1,056 0 18 Oct 2018
Automated learning with a probabilistic programming language: Birch Lawrence M. Murray Thomas B. Schon 76 63 0 02 Oct 2018
Inference Over Programs That Make Predictions Yura N. Perov 35 2 0 02 Oct 2018
Compiling Stan to Generative Probabilistic Languages and Extension to Deep Probabilistic Programming Guillaume Baudart Javier Burroni Martin Hirzel Louis Mandel Avraham Shinnar BDL 40 4 0 30 Sep 2018
An Introduction to Probabilistic Programming Jan-Willem van de Meent Brooks Paige Hongseok Yang Frank Wood GP 88 200 0 27 Sep 2018
Efficient Probabilistic Inference in the Quest for Physics Beyond the Standard Model A. G. Baydin Lukas Heinrich W. Bhimji Lei Shao Saeid Naderiparizi ... Philip Torr Victor W. Lee P. Prabhat Kyle Cranmer Frank Wood 90 31 0 20 Jul 2018
Probabilistic Inference Using Generators - The Statues Algorithm P. Denis 34 2 0 24 Jun 2018
Discrete-Continuous Mixtures in Probabilistic Programming: Generalized Semantics and Inference Algorithms Yi Wu Siddharth Srivastava N. Hay S. Du Stuart J. Russell 68 25 0 06 Jun 2018
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 797 3,129 0 04 Jun 2018
Reparameterization Gradient for Non-differentiable Models Wonyeol Lee Hangyeol Yu Hongseok Yang DRL 125 32 0 01 Jun 2018
Omega: An Architecture for AI Unification Eray Özkural AI4CE 45 1 0 16 May 2018
On the Conditional Logic of Simulation Models D. Ibeling Thomas Icard LRM 133 9 0 08 May 2018
Hamiltonian Monte Carlo for Probabilistic Programs with Discontinuities Bradley Gram-Hansen Yuanshuo Zhou Tobias Kohn Tom Rainforth Hongseok Yang Frank Wood 24 3 0 07 Apr 2018
Nesting Probabilistic Programs Tom Rainforth TPM 68 24 0 16 Mar 2018
SERKET: An Architecture for Connecting Stochastic Models to Realize a Large-Scale Cognitive Model Tomoaki Nakamura Takayuki Nagai T. Taniguchi 3DV 62 44 0 04 Dec 2017
One Model for the Learning of Language Yu’an Yang 55 51 0 16 Nov 2017
Building machines that adapt and compute like brains Brenden M. Lake J. Tenenbaum AI4CE FedML NAI AILaw 331 887 0 11 Nov 2017
On Nesting Monte Carlo Estimators Tom Rainforth R. Cornish Hongseok Yang Andrew Warrington Frank Wood 151 132 0 18 Sep 2017
Abstractions for AI-Based User Interfaces and Systems Alex Renda Harrison Goldstein Sarah Bird Chris Quirk Adrian Sampson AI4CE LLMAG 21 1 0 14 Sep 2017
Exact Inference for Relational Graphical Models with Interpreted Functions: Lifted Probabilistic Inference Modulo Theories Rodrigo de Salvo Braz Ciaran O'Reilly TPM 18 7 0 04 Sep 2017
TensorLog: Deep Learning Meets Probabilistic DBs William W. Cohen Fan Yang Kathryn Mazaitis NAI 76 41 0 17 Jul 2017