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cs.LG2022★ 4 cited
Principled Pruning of Bayesian Neural Networks through Variational Free Energy Minimization
Jim Beckers, Bart van Erp, Ziyue Zhao +2
Bayesian model reduction provides an efficient approach for comparing the performance of all nested sub-models of a model, without re-evaluating any of these sub-models. Until now,…
cs.LG2021
Reactive Message Passing for Scalable Bayesian Inference
Dmitry Bagaev, Bert de Vries
We introduce Reactive Message Passing (RMP) as a framework for executing schedule-free, robust and scalable message passing-based inference in a factor graph representation of a pr…