Session 1

Session 1

  • Mark Girolami - "Never Mind the Big Data, here's the Big Models"
  • James Hensman - "Scalable Gaussian Process methods"
Session 2

Session 2

  • Marc Suchard - "Massive parallelization for large-scale observational healthcare problems"
  • Lizhen Lin - "Robust and scalable inference using median posteriors"
  • Hadley Wickham - "Data tidying and munging"
Session 3

Session 3

  • Hugo Larochelle - "The Neural Autoregressive Distribution Estimator"
  • Iain Murray - "Flexible and deep models for density estimation"
  • Alexander Bertram - "Autoparallellization of R with Renjin: A case study in automatic distribution of calculations across public clusters"
Session 4

Session 4

  • Pierre Jacob - "On non-negative unbiased estimators"
  • Christos Bouganis - "MCMC on Parallel Hardware"
  • Joaquín Míguez - "Parallel particle filtering schemes for complex dynamical networks""

Contact Us

Statistics section administrator: 

Trish Watson
Huxley Building, Room 627
E-mail Trish

Address:
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London SW7 2AZ
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