302 citations · 518 across the 20 of their papers we have counts for
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stat.ML2019★ 8 cited
Achieving Robustness to Aleatoric Uncertainty with Heteroscedastic Bayesian Optimisation
Ryan-Rhys Griffiths, Alexander A. Aldrick, Miguel Garcia-Ortegon +2
Bayesian optimisation is a sample-efficient search methodology that holds great promise for accelerating drug and materials discovery programs. A frequently-overlooked modelling co…
stat.ML2019★ 8 cited
Adaptive Sensor Placement for Continuous Spaces
James A Grant, Alexis Boukouvalas, Ryan-Rhys Griffiths +3
We consider the problem of adaptively placing sensors along an interval to detect stochastically-generated events. We present a new formulation of the problem as a continuum-armed…