141 citations · 597 across the 22 of their papers we have counts for
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cs.LG2021★ 7 cited
A survey of Monte Carlo methods for noisy and costly densities with application to reinforcement learning and ABC
F. Llorente, L. Martino, J. Read +1
This survey gives an overview of Monte Carlo methodologies using surrogate models, for dealing with densities which are intractable, costly, and/or noisy. This type of problem can…
cs.LG2021★ 1 cited
A Survey on Semi-Supervised Learning for Delayed Partially Labelled Data Streams
Heitor Murilo Gomes, Maciej Grzenda, Rodrigo Mello +3
Unlabelled data appear in many domains and are particularly relevant to streaming applications, where even though data is abundant, labelled data is rare. To address the learning p…