Publications

    D. M. Roy

  • D. M. Roy, C. Kemp, V. K. Mansinghka, J. B. Tenenbaum:
    Learning annotated hierarchies from relational data (pdf) (bibtex)
    Advances in Neural Information Processing Systems 19
    #stochastic blockmodels, #annotated hierarchies, #hierachical
    @article{D.M.Roy:2007:273ef,
    author = {D. M. Roy and C. Kemp and V. K. Mansinghka and J. B. Tenenbaum},
    journal = {Advances in Neural Information Processing Systems 19},
    title = {Learning annotated hierarchies from relational data},
    year = {2007},
    keywords = {stochastic blockmodels, annotated hierarchies, hierachical},
    doi = {},
    url = {http://danroy.org/papers/RoyKemManTen-NIPS-2007.pdf}
    }
  • C. E. Freer, V. K. Mansinghka, D. M. Roy:
    When are probabilistic programs probably computationally tractable? (pdf) (bibtex)
    NIPS Workshop on Monte Carlo Methods for Modern Applications
    #probabilistic programming
    @article{C.E.Freer:2010:f8bd8,
    author = {C. E. Freer and V. K. Mansinghka and D. M. Roy},
    journal = {NIPS Workshop on Monte Carlo Methods for Modern Applications},
    title = {When are probabilistic programs probably computationally tractable? },
    year = {2010},
    keywords = {probabilistic programming},
    doi = {},
    url = {http://danroy.org/papers/FreerManRoy-NIPSMC-2010.pdf}
    }
  • N. D. Goodman, V. K. Mansinghka, D. M. Roy, K. Bonawitz, J. B. Tenenbaum:
    Church: a language for generative models (pdf) (bibtex)
    Uncertainty in Artificial Intelligence 2008
    #church, #probabilistic programming, #generative models
    @article{N.D.Goodman:2008:f5d3f,
    author = {N. D. Goodman and V. K. Mansinghka and D. M. Roy and K. Bonawitz and J. B. Tenenbaum},
    journal = {Uncertainty in Artificial Intelligence 2008},
    title = {Church: a language for generative models},
    year = {2008},
    keywords = {church, probabilistic programming, generative models},
    doi = {},
    url = {http://danroy.org/papers/church_GooManRoyBonTen-UAI-2008.pdf}
    }
  • V. K. Mansinghka, D. M. Roy, R. Rifkin, J. B. Tenenbaum:
    AClass: An online algorithm for generative classification (pdf) (bibtex)
    Eleventh International Conference on Artificial Intelligence and Statistics (AISTATS07)
    #classification, #dirichlet process mixture, #particle filter
    @article{V.K.Mansinghka:2007:f870b,
    author = {V. K. Mansinghka and D. M. Roy and R. Rifkin and J. B. Tenenbaum},
    journal = {Eleventh International Conference on Artificial Intelligence and Statistics (AISTATS07)},
    title = {AClass: An online algorithm for generative classification},
    year = {2007},
    keywords = {classification, dirichlet process mixture, particle filter},
    doi = {},
    url = {http://danroy.org/papers/ManRoyRifTen-AISTATS-2007.pdf}
    }
  • V. Savova, D. M. Roy, L. Schmidt, J. B. Tenenbaum:
    Discovering syntactic hierarchies (pdf) (bibtex)
    Proceedings of the Twenty-Ninth Annual Conference of the Cognitive Science Society
    #annotated hierarchies, #stochastic blockmodels
    @article{V.Savova:2007:ff9bc,
    author = {V. Savova and D. M. Roy and L. Schmidt and J. B. Tenenbaum},
    journal = {Proceedings of the Twenty-Ninth Annual Conference of the Cognitive Science Society},
    title = {Discovering syntactic hierarchies},
    year = {2007},
    keywords = {annotated hierarchies, stochastic blockmodels},
    doi = {},
    url = {http://danroy.org/papers/SavRoySchTen-COGSCI-2007.pdf}
    }
  • V. K. Mansinghka, D. M. Roy, E. Jonas, J. B. Tenenbaum:
    Exact and approximate sampling by systematic stochastic search (pdf) (bibtex)
    AISTATS 2009
    #inference
    @article{V.K.Mansinghka:2009:9e63d,
    author = {V. K. Mansinghka and D. M. Roy and E. Jonas and J. B. Tenenbaum},
    journal = {AISTATS 2009},
    title = {Exact and approximate sampling by systematic stochastic search},
    year = {2009},
    keywords = {inference},
    doi = {},
    url = {http://danroy.org/papers/ManRoyJonTen-AISTATS-2009.pdf}
    }
  • C. E. Freer, D. M. Roy, J. B. Tenenbaum:
    Towards common-sense reasoning via conditional simulation: Legacies of Turing in Artificial Intelligence (web) (bibtex)
    Turing’s Legacy (ASL Lecture Notes in Logic)
    #probabilistic programming, #artificial intelligence, #reasoning, #decision making, #structure learning
    @article{C.E.Freer:2012:ed3e0,
    author = {C. E. Freer and D. M. Roy and J. B. Tenenbaum},
    journal = {Turing’s Legacy (ASL Lecture Notes in Logic)},
    title = {Towards common-sense reasoning via conditional simulation: Legacies of Turing in Artificial Intelligence},
    year = {2012},
    keywords = {probabilistic programming, artificial intelligence, reasoning, decision making, structure learning},
    doi = {},
    url = {http://arxiv.org/abs/1212.4799}
    }
  • C. E. Freer, D. M. Roy:
    Computable exchangeable sequences have computable de Finetti measures (pdf) (doi) (bibtex)
    Computability in Europe (CiE)
    #de finetti, #exchangeability, #computable probability theory, #probabilistic programming, #mutation
    @article{C.E.Freer:2009:e8caa,
    author = {C. E. Freer and D. M. Roy},
    journal = {Computability in Europe (CiE)},
    title = {Computable exchangeable sequences have computable de Finetti measures},
    year = {2009},
    keywords = {de finetti, exchangeability, computable probability theory, probabilistic programming, mutation},
    doi = {10.1007/978-3-642-03073-4_23},
    url = {http://danroy.org/papers/FreerRoy-CIE-2009.pdf}
    }

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