Program

Schedule

Program & abstracts

The full conference program and abstracts are now available.

Plenary talks and speakers

  • Harry van Zanten (Amsterdam): Asymptotic analysis, empirical nonparametric Bayes
  • Igor Prunster (Torino): Random measures and their applications
  • Emily Fox (Seattle): Latent structures and Bayesian Nonparametrics
  • Invited sessions and speakers

  • Session: Scalable Computation for Bayesian Nonparametrics in Statistics and Machine Learning
  • David Duvenaud (Harvard)
    Erik Sudderth (Brown)
    Matt Taddy (Chicago)
    Dave Blei (Princeton)
    Vikash Mansinghka (MIT)
    David Dunson (Duke)

  • Session: Asymptotic analysis of posterior distributions
  • Judith Rousseau (Paris 9)
    Botond Szabo (Eindhoven)
    Johannes Schmidt-Hieber (Leiden)

  • Session: High-dimensional models and sparsity
  • James Scott (Austin)
    Anirban Bhattacharya (Texas A & M)
    Carlos Carvalho (Austin)

  • Session: BNP models for graphs
  • Peter Orbanz (Columbia)
    Francois Caron (Oxford)
    Sonia Petrone (Bocconi)

  • Session: Random measures and their applications
  • Mingyuan Zhou (Austin)
    Bernardo Nipoti (Torino)
    Andres Felipe Barrientos (Santiago)

  • Session: Multiscale Bayes, recursive partitioning and latent structures
  • Li Ma (Duke)
    Kolyan Ray (Leiden)
    Fernando Quintana (Santiago)

  • Session: Applications of BNP models in Biostatistics
  • Peter Mueller (Austin)
    Chris Holmes (Oxford)
    Luis Nieto-Barajas (ITAM, Mexico)

    Poster sessions