13 citations · 16 across the 5 of their papers we have counts for
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cs.LG2021
High-dimensional near-optimal experiment design for drug discovery via Bayesian sparse sampling
Hannes Eriksson, Christos Dimitrakakis, Lars Carlsson
We study the problem of performing automated experiment design for drug screening through Bayesian inference and optimisation. In particular, we compare and contrast the behaviour…
cs.LG2021★ 13 cited
Retrain or not retrain: Conformal test martingales for change-point detection
Vladimir Vovk, Ivan Petej, Ilia Nouretdinov +3
We argue for supplementing the process of training a prediction algorithm by setting up a scheme for detecting the moment when the distribution of the data changes and the algorith…