157 citations · 179 across the 9 of their papers we have counts for
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stat.ML2022
Tackling covariate shift with node-based Bayesian neural networks
Trung Trinh, Markus Heinonen, Luigi Acerbi +1
Bayesian neural networks (BNNs) promise improved generalization under covariate shift by providing principled probabilistic representations of epistemic uncertainty. However, weigh…
stat.ML2022★ 2 cited
Parallel MCMC Without Embarrassing Failures
Daniel Augusto de Souza, Diego Mesquita, Samuel Kaski +1
Embarrassingly parallel Markov Chain Monte Carlo (MCMC) exploits parallel computing to scale Bayesian inference to large datasets by using a two-step approach. First, MCMC is run i…