2 papers
cs.LG2024
An adaptive approach to Bayesian Optimization with switching costs
Stefan Pricopie, Richard Allmendinger, Manuel Lopez-Ibanez +3
We investigate modifications to Bayesian Optimization for a resource-constrained setting of sequential experimental design where changes to certain design variables of the search s…
stat.ML2023
Model-agnostic variable importance for predictive uncertainty: an entropy-based approach
Danny Wood, Theodore Papamarkou, Matt Benatan +1
In order to trust the predictions of a machine learning algorithm, it is necessary to understand the factors that contribute to those predictions. In the case of probabilistic and…