Variational predictive resampling iteratively imputes data from a variational predictive to produce posterior samples that converge to the exact Bayesian posterior in Gaussian models where mean-field VI retains a gap.
No free lunch for approximate mcmc
3 Pith papers cite this work. Polarity classification is still indexing.
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2026 3representative citing papers
Two MCMC algorithms for latent position models with almost O(|E|) and O(|V|) running times plus stronger accuracy guarantees than Rastelli et al. (2024).
Stabilised weighted subsampling yields unbiased log-likelihood and gradient estimators for faster inference in recursive likelihood models with controlled variance via hyperparameter tuning.
citing papers explorer
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Variational predictive resampling
Variational predictive resampling iteratively imputes data from a variational predictive to produce posterior samples that converge to the exact Bayesian posterior in Gaussian models where mean-field VI retains a gap.
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Accurate and Efficient MCMC for Latent Position Models
Two MCMC algorithms for latent position models with almost O(|E|) and O(|V|) running times plus stronger accuracy guarantees than Rastelli et al. (2024).
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Stabilised weighted data subsampling for accelerated inference in models with recursive likelihoods
Stabilised weighted subsampling yields unbiased log-likelihood and gradient estimators for faster inference in recursive likelihood models with controlled variance via hyperparameter tuning.