Church: a language for generative models (original) (raw)

Deterministic representation of probabilistic systems by ergodic machines

Sudhir Aggarwal

Mathematical Systems Theory, 1976

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Natively probabilistic computation

Vikash Mansinghka

2009

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A probabilistic language based upon sampling functions

park sungwoo

Sigplan Notices, 2005

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RandVar: Implementation of random variables by means of S4 classes and methods

matthias kohl

2011

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Random generation of closed simply typed λ-terms: A synergy between logic programming and Boltzmann samplers

Paul Tarau

Theory and Practice of Logic Programming, 2017

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Random generation of closed simply-typed lambda\lambdalambda-terms: a synergy between logic programming and Boltzmann samplers

Paul Tarau

arXiv (Cornell University), 2016

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Nonstandard Interpretations of Probabilistic Programs for Efficient Inference

David Wingate

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Ergodic Theory and Arithmetical Simulation of Random Processes

Nikolaj Glazunov

Cybernetics and Systems Analysis, 2004

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Reactive, Generative, and Stratified Models of Probabilistic Processes

B. Steffen, Chris Tofts

Information and Computation, 1995

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RVGEN: a tool for generation of random variates

Benny Mathew

Software - Concepts & Tools, 2000

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Lightweight implementations of probabilistic programming languages via transformational compilation

David Wingate

2011

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Probabilistic and weighted grammars

Arto Salomaa

Information and Control, 1969

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A Probabilistic and Non-Deterministic Call-by-Push-Value Language

Jean Goubault-larrecq

2019

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Realization of Probabilistic Automata: Categorical Approach

Paulo Mateus

Lecture Notes in Computer Science, 2000

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WOLFE: Strength Reduction and Approximate Programming for Probabilistic Programming

Sameer Singh

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Universal Generators for Correlation Induction

Wolfgang Hörmann

Compstat, 1994

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Composing Modeling and Inference Operations with Probabilistic Program Combinators

Eli Sennesh

2018

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Probabilistic Operational Semantics for the Lambda Calculus

Ugo Dal Lago

2011

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Full abstraction for non-deterministic and probabilistic extensions of PCF I: The angelic cases

Jean Goubault-larrecq

Journal of Logical and Algebraic Methods in Programming, 2015

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abstract Markov generator

Dominique Bakry

Duke Mathematical Journal, 1996

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A logical duality for underspecified probabilistic systems

François Laviolette

Information and Computation, 2011

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Hierarchical P Systems with Randomized Right-Hand Sides of Rules

Artiom Alhazov

Lecture Notes in Computer Science, 2017

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Automatic nonuniform random variate generation

miguel pineda

Computational Statistics, 2004

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Bisimulation and cocongruence for probabilistic systems

Josée Desharnais, François Laviolette

Information and Computation, 2006

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A demonic approach to information in probabilistic systems

François Laviolette

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On using deterministic functions to reduce randomness in probabilistic algorithms

Miklos Santha

Information and Computation, 1987

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Random Self-modifiable Computation

Michael Fiske

Transactions on computational science and computational intelligence, 2021

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A New Object-Oriented Stochastic Modeling Language

George Luger

geoinfo.tuwien.ac.at, 2000

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Universal Aspects of Probabilistic Automata

Paulo Mateus

Mathematical Structures in Computer Science, 2002

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Lecture 17: Pseudorandom Generators Based on Scribe Notes

Saurabh Sanghvi

2007

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Abstraction for stochastic systems by Erlang’s method of stages

Joost-Pieter Katoen

2008

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Reduction and refinement strategies for probabilistic analysis

Pedro Dargenio

2002

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Combinators for Modeling and Inference

Eli Sennesh

2018

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