
Spectral Subsampling MCMC for Stationary Time Series
Bayesian inference using Markov Chain Monte Carlo (MCMC) on large datase...
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Variance reduction properties of the reparameterization trick
The reparameterization trick is widely used in variational inference as ...
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On some variance reduction properties of the reparameterization trick
The socalled reparameterization trick is widely used in variational inf...
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Subsampling MCMC  An introduction for the survey statistician
The rapid development of computing power and efficient Markov Chain Mont...
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Subsampling MCMC  A review for the survey statistician
The rapid development of computing power and efficient Markov Chain Mont...
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Subsampling Sequential Monte Carlo for Static Bayesian Models
Our article shows how to carry out Bayesian inference by combining data ...
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Gaussian variational approximation for highdimensional state space models
Our article considers variational approximations of the posterior distri...
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Hamiltonian Monte Carlo with Energy Conserving Subsampling
Hamiltonian Monte Carlo (HMC) has recently received considerable attenti...
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Exact Subsampling MCMC
Speeding up Markov Chain Monte Carlo (MCMC) for data sets with many obse...
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Speeding Up MCMC by Efficient Data Subsampling
We propose Subsampling MCMC, a Markov Chain Monte Carlo (MCMC) framework...
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Matias Quiroz
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