60 citations · 87 across the 5 of their papers we have counts for
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stat.ML2020★ 1 cited
Output-Weighted Optimal Sampling for Bayesian Experimental Design and Uncertainty Quantification
Antoine Blanchard, Themistoklis Sapsis
We introduce a class of acquisition functions for sample selection that leads to faster convergence in applications related to Bayesian experimental design and uncertainty quantifi…
stat.ML2020★ 2 cited
Informative Path Planning for Extreme Anomaly Detection in Environment Exploration and Monitoring
Antoine Blanchard, Themistoklis Sapsis
An unmanned autonomous vehicle (UAV) is sent on a mission to explore and reconstruct an unknown environment from a series of measurements collected by Bayesian optimization. The su…
cs.LG2020★ 60 cited
Bayesian Optimization with Output-Weighted Optimal Sampling
Antoine Blanchard, Themistoklis Sapsis
In Bayesian optimization, accounting for the importance of the output relative to the input is a crucial yet challenging exercise, as it can considerably improve the final result b…