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Thursday, June 25

  1. file pprog.pdf uploaded
    12:20 pm
  2. page Past Talks edited Brooks Paige: Variational inference in probabilistic programs. Slides for the talk [[ {pprog.pdf…

    Brooks Paige: Variational inference in probabilistic programs. Slides for the talk [[ {pprog.pdf}
    Tom Rainforth: Top-Down Particle Filtering for Bayesian Decision Trees by Balaji Lakshminarayanan, Daniel Roy, Yee Whye Teh. Slides for the talk {smc-decision-tree.pdf}
    David Tolpin: Probabilistic Programming by Andrew D. Gordon, Thomas A. Henzinger, Aditya V. Nori, and Sriram K. Rajamani Slides for the talk {pp.pdf}
    (view changes)
    12:20 pm
  3. file pprog.pdf uploaded
    12:16 pm

Monday, February 23

  1. 5:55 am
  2. page Past Talks edited Tom Rainforth: Top-Down Particle Filtering for Bayesian Decision Trees by Balaji Lakshminarayana…

    Tom Rainforth: Top-Down Particle Filtering for Bayesian Decision Trees by Balaji Lakshminarayanan, Daniel Roy, Yee Whye Teh. Slides for the talk {smc-decision-tree.pdf}
    David Tolpin: Probabilistic Programming by Andrew D. Gordon, Thomas A. Henzinger, Aditya V. Nori, and Sriram K. Rajamani Slides for the talk {pp.pdf}
    Brooks Paige: Adaptive MCMC Tutorial. Slides for the talk: {adaptive-mcmc.pdf}
    (view changes)
    5:54 am
  3. file pp.pdf uploaded
    5:49 am
  4. file slides.pdf uploaded
    5:48 am
  5. page Past Talks edited David Tolpin: Probabilistic Programming by Andrew D. Gordon, Thomas A. Henzinger, Aditya V. Nori…

    David Tolpin: Probabilistic Programming by Andrew D. Gordon, Thomas A. Henzinger, Aditya V. Nori, and Sriram K. Rajamani Slides for the talk {pp.pdf}
    Brooks Paige: Adaptive MCMC Tutorial. Slides for the talk: {adaptive-mcmc.pdf}
    Jeremy Gibbons: Oleg Kiselyov, Chung-chieh Shan: Embedded Probabilistic Programming Notes for the talk: {pprg.lhs}
    (view changes)
    5:47 am

Friday, January 30

  1. page Past Talks edited Brooks Paige: Adaptive MCMC Tutorial. Slides for the talk: {adaptive-mcmc.pdf} Jeremy Gibbon…

    Brooks Paige: Adaptive MCMC Tutorial. Slides for the talk: {adaptive-mcmc.pdf}
    Jeremy Gibbons: Oleg Kiselyov, Chung-chieh Shan: Embedded Probabilistic Programming Notes for the talk: {pprg.lhs}
    David Poole: David Poole, Probabilistic Programming Languages: Independent Choices and Deterministic Systems, in Heuristics, Probability and Causality: A Tribute to Judea Pearl, edited by R. Dechter, H. Geffner and J.Y. Halpern, College Publications, 2010, pages 253-269. Slides for the talk: http://www.cs.ubc.ca/~poole/talks/IndependentChoicesTalk2014.pdf
    (view changes)
    3:49 am
  2. 3:48 am

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