34 citations · 57 across the 12 of their papers we have counts for
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stat.ML2020
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
Sparse Methods for Automatic Relevance Determination
Samuel H. Rudy, Themistoklis P. Sapsis
This work considers methods for imposing sparsity in Bayesian regression with applications in nonlinear system identification. We first review automatic relevance determination (AR…
stat.ML2020
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…