SBMC samples from a MAP-anchored approximate posterior with parallel MCMC/SMC chains, delivering deep-ensemble-level accuracy with better calibrated epistemic uncertainty at similar cost.
Introduces Bernoulli-thinning (random inclusion) unbiased-likelihood estimators inside SMC
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Scalable Bayesian Monte Carlo: fast uncertainty estimation beyond deep ensembles
SBMC samples from a MAP-anchored approximate posterior with parallel MCMC/SMC chains, delivering deep-ensemble-level accuracy with better calibrated epistemic uncertainty at similar cost.