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Found 3 papers, 1 papers with code
Bayesian Active Learning in the Presence of Nuisance Parameters
However, the introduction of nuisance parameters can lead to bias in the Bayesian learner's estimate of the target parameters, a phenomenon we refer to as negative interference.
Learning relevant contextual variables within Bayesian Optimization
Contextual Bayesian Optimization (CBO) efficiently optimizes black-box functions with respect to design variables, while simultaneously integrating contextual information regarding the environment, such as experimental conditions.
Characterizing the robustness of Bayesian adaptive experimental designs to active learning bias
We show that active learning bias can also afflict Bayesian adaptive experimental design, depending on model misspecification.
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