8 citations · 9 across the 5 of their papers we have counts for
Showing 2025Show all
2 papers · 1 filter
stat.ML2025
Normalizing Flow Regression for Bayesian Inference with Offline Likelihood Evaluations
Chengkun Li, Bobby Huggins, Petrus Mikkola +1
Bayesian inference with computationally expensive likelihood evaluations remains a significant challenge in many scientific domains. We propose normalizing flow regression (NFR), a…
stat.ML2025
Stacking Variational Bayesian Monte Carlo
Francesco Silvestrin, Chengkun Li, Luigi Acerbi
Approximate Bayesian inference for models with computationally expensive, black-box likelihoods poses a significant challenge, especially when the posterior distribution is complex…