Publications


    Probabilistic Programming

      Lightweight Implementations of Probabilistic Programming Languages Via Transformational Compilation (pdf) (bibtex)


      D. Wingate, A. Stuhlmueller, N. D. Goodman:
      Proceedings of the 14th international conference on Artificial Intelligence and Statistics
      #probabilistic programming, #mcmc, #inference

      When are probabilistic programs probably computationally tractable? (pdf) (bibtex)


      C. E. Freer, V. K. Mansinghka, D. M. Roy:
      NIPS Workshop on Monte Carlo Methods for Modern Applications
      #probabilistic programming

      Church: a language for generative models (pdf) (bibtex)


      N. D. Goodman, V. K. Mansinghka, D. M. Roy, K. Bonawitz, J. B. Tenenbaum:
      Uncertainty in Artificial Intelligence 2008
      #church, #probabilistic programming, #generative models

      Ping Pong in Church: Productive use of concepts in human probabilistic inference (pdf) (bibtex)


      T. Gerstenberg, N.D. Goodman:
      Proceedings of the 34th Annual Conference of the Cognitive Science Society
      #inference, #reasoning, #causality, #language of thought, #probabilistic programming

      Towards common-sense reasoning via conditional simulation: Legacies of Turing in Artificial Intelligence (web) (bibtex)


      C. E. Freer, D. M. Roy, J. B. Tenenbaum:
      Turing's Legacy (ASL Lecture Notes in Logic)
      #probabilistic programming, #artificial intelligence, #reasoning, #decision making, #structure learning

      Computable exchangeable sequences have computable de Finetti measures (pdf) (doi) (bibtex)


      C. E. Freer, D. M. Roy:
      Computability in Europe (CiE)
      #de finetti, #exchangeability, #computable probability theory, #probabilistic programming, #mutation

      Reasoning about Reasoning by Nested Conditioning: Modeling Theory of Mind with Probabilistic Programs (pdf) (bibtex)


      A. Stuhlmueller, N. D. Goodman:
      Journal of Cognitive Systems Research
      #theory of mind, #probabilistic programming

      A Dynamic Programming Algorithm for Inference in Recursive Probabilistic Programs (web) (bibtex)


      A. Stuhlmueller, N. D. Goodman:
      Second Statistical Relational AI workshop at UAI 2012 (StaRAI-12)
      #dynamic programming, #inference, #probabilistic programming

      Inducing Probabilistic Programs by Bayesian Program Merging (web) (bibtex)


      I. Hwang, A. Stuhlmueller, N. D. Goodman:
      Technical Report. arXiv:1110.5667 [cs.AI]
      #probabilistic programming, #program induction

      Nonstandard Interpretations of Probabilistic Programs for Efficient Inference (pdf) (bibtex)


      D. Wingate, N. D. Goodman, A. Stuhlmueller, J. M. Siskind:
      Advances in Neural Information Processing Systems (NIPS) 24
      #probabilistic programming, #inference

      Picture : A Probabilistic Programming Language for Scene Perception (pdf) (doi) (bibtex)


      Tejas D Kulkarni, Pushmeet Kohli, Joshua B Tenenbaum, Vikash Mansinghka:
      Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition
      #analysis-by-synthesis, #inference, #deep learning, #inverse vision, #3d vision, #probabilistic programming

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