4 citations · 5 across the 3 of their papers we have counts for
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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★ 1 cited
On Preference Learning Based on Sequential Bayesian Optimization with Pairwise Comparison
Tanya Ignatenko, Kirill Kondrashov, Marco Cox +1
User preference learning is generally a hard problem. Individual preferences are typically unknown even to users themselves, while the space of choices is infinite. Here we study u…