Birs- 14w5125: Advances in Scalable Bayesian Computation
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Title: Probabilistic computing for Bayesian inference
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Title: On non-negative unbiased estimators
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Title: Marginal Sampler for σ-Stable Poisson-Kingman Mixture Models
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Title: A new approach to probabilistic programming inference
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Title: LATKES in Space: Fitting spatial Markov chain models
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Title: Statistical Regular Pavings for Bayesian Non-parametric Density Estimation
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Title: A scalable Bayesian changepoint methodology for large space-time data sets
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Title: Reparameterisations for Particle MCMC
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Title: 2-for-1: Stochastic Gradient Hamiltonian Monte Carlo and Bayesian Learning of DPP Kernels
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Title: Model-Based Image Segmentation / Efficiency of MCMC in Parametric Models
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Title: Learning Structured, Robust, and Multimodal Models
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Title: Bayes and Big Data: The Consensus Monte Carlo Algorithm
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Title: On the role of interaction in sequential Monte Carlo algorithm
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Title: Parallelisation strategies for Monte Carlo algorithms
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Title: Sequential Quasi-Monte Carlo
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Title: Merging parallel MCMC output for horizontally partitioned data
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Title: Hierarchical Bayesian Methods in Modern Industrial Statistics
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Title: Scaling Bayesian models for large-scale infectious disease surveillance
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