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Slice Sampling for General Completely Random Measures
Completely random measures provide a principled approach to creating fle...
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Particle-Gibbs Sampling For Bayesian Feature Allocation Models
Bayesian feature allocation models are a popular tool for modelling data...
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Blang: Bayesian declarative modelling of arbitrary data structures
Consider a Bayesian inference problem where a variable of interest does ...
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Analysis of high-dimensional Continuous Time Markov Chains using the Local Bouncy Particle Sampler
Sampling the parameters of high-dimensional Continuous Time Markov Chain...
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Non-Reversible Parallel Tempering: an Embarassingly Parallel MCMC Scheme
Parallel tempering (PT) methods are a popular class of Markov chain Mont...
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Scalable Metropolis-Hastings for Exact Bayesian Inference with Large Datasets
Bayesian inference via standard Markov Chain Monte Carlo (MCMC) methods ...
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An Annealed Sequential Monte Carlo Method for Bayesian Phylogenetics
The estimation of the probability of the data under a given evolutionary...
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Unbounded Bayesian Optimization via Regularization
Bayesian optimization has recently emerged as a popular and efficient to...
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Optimization of Structured Mean Field Objectives
In intractable, undirected graphical models, an intuitive way of creatin...
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