Jan-Willem van de Meent


  • Inference and Learning with Probabilistic Programs
    (Columbia, Toronto, Amherst, Northeastern, Tufts, Cambridge) 2016

  • Particle Gibbs with Ancestor Sampling for Probabilistic Programs
    (Oxford, Berkeley, Stanford, Google DeepMind, NIPS Workshop on Probabilistic Programming) 2014

  • Anglican: A Probabilistic Programming Language for Forward Inference
    (Analog Devices, Cambridge, Oxford, Microsoft Research Cambridge) 2014

  • Learning Kinetic Models from Single-Molecule Experiments
    (NIPS Computational Biology Workshop, McGill, Berkeley, Nijmegen, Yahoo, APS March Meeting, ICML) 2013