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We introduce Church, a universal language for describing stochastic generative processes.
A Set of Postulates for the Foundation of Logic
A. Church · 1932
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A Basis for a Mathematical Theory of Computation
J. McCarthy · 1963
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Definitional interpreters for higher-order programming
J.C. Reynolds · 1972
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A Constructive definition of Dirichlet priors
J. Sethuraman · 1994
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Structure and Interpretation of Computer Programs
H. Abelson and G. Sussman · 1996
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Stochastic logic programs
S. Muggleton · 1996
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PRISM: A symbolic-statistical modeling language
T. Sato and Y. Kameya · 1997
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Revised 5
R. Kelsey, W. Clinger, and J. Rees (eds.) · 1998
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A. Pfeffer · 2001
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M.J. Beal, Z. Ghahramani, and C.E. Rasmussen · 2002
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Learning systems of concepts with an infinite relational model
Markov logic networks
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Probabilistic inference for solving (PO)MDPs
M. Toussaint, S. Harmeling, and A. Storkey · 2006
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Adaptor grammars: A framework for specifying compositional nonparametric Bayesian models
M. Johnson, T. Griffiths, and S. Goldwater · 2007
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The Infinite PCFG using Hierarchical Dirichlet Processes
P. Liang, S. Petrov, M.I. Jordan, and D. Klein · 2007
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Report on the probabilistic language scheme
A. Radul · 2007
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Composable Probabilistic Inference with Blaise
K. A. Bonawitz · 2008
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C. Kemp, J.B. Tenenbaum, T.L. Griffiths, T. Yamada, and N. Ueda · 2006
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Random-world semantics and syntactic independence for expressive languages
D. McAllester, B. Milch, and N. D. Goodman · 2008
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