Advances in Scalable Bayesian Computation
Videos from BIRS Workshop
Vikash Mansinghka, Massachusetts Institute of Technology
Monday Mar 3, 2014 09:11 - 10:09
Probabilistic computing for Bayesian inference
Pierre Jacob, National University of Singapore
Monday Mar 3, 2014 10:35 - 11:13
On non-negative unbiased estimators
Maria Lomeli, University College London
Monday Mar 3, 2014 15:36 - 16:13
Marginal Sampler for σ-Stable Poisson-Kingman Mixture Models
Frank Wood, Oxford
Monday Mar 3, 2014 16:14 - 17:08
A new approach to probabilistic programming inference
Simon Barthelmé, University of Geneva
Tuesday Mar 4, 2014 09:05 - 10:17
LATKES in Space: Fitting spatial Markov chain models
Raazesh Sainudiin, University of Canterbury
Tuesday Mar 4, 2014 10:40 - 11:24
Statistical Regular Pavings for Bayesian Non-parametric Density Estimation
Chris Strickland, University of New South Wales
Tuesday Mar 4, 2014 11:25 - 12:07
A scalable Bayesian changepoint methodology for large space-time data sets
Paul Fearnhead, Lancaster University
Tuesday Mar 4, 2014 15:39 - 16:29
Reparameterisations for Particle MCMC
Emily Fox, University of Washington
Tuesday Mar 4, 2014 16:29 - 17:18
2-for-1: Stochastic Gradient Hamiltonian Monte Carlo and Bayesian Learning of DPP Kernels
Dawn Woodard, Cornell University
Tuesday Mar 4, 2014 17:18 - 18:23
Model-Based Image Segmentation / Efficiency of MCMC in Parametric Models
Russ Salakhutdinov, University of Toronto
Wednesday Mar 5, 2014 09:06 - 10:07
Learning Structured, Robust, and Multimodal Models
Steve Scott, Google
Wednesday Mar 5, 2014 10:45 - 11:22
Bayes and Big Data: The Consensus Monte Carlo Algorithm
Anthony Lee, University of Warwick
Thursday Mar 6, 2014 09:07 - 10:05
On the role of interaction in sequential Monte Carlo algorithm
Darren Wilkinson, Newcastle University
Thursday Mar 6, 2014 10:37 - 11:21
Parallelisation strategies for Monte Carlo algorithms
Nicolas Chopin, ENSAE, Institut Polytechnique de Paris
Thursday Mar 6, 2014 11:24 - 12:15
Sequential Quasi-Monte Carlo
Sylvia Fruhwirth-Schnatter, Wirtschaftsuniversitat Wien
Thursday Mar 6, 2014 15:37 - 16:25
Merging parallel MCMC output for horizontally partitioned data
Alex Lenkoski, Norwegian Computing Center
Thursday Mar 6, 2014 16:25 - 17:10
Hierarchical Bayesian Methods in Modern Industrial Statistics
Marc Suchard, University of California at Los Angeles
Thursday Mar 6, 2014 17:15 - 18:08
Scaling Bayesian models for large-scale infectious disease surveillance
