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Found 3 papers, 2 papers with code
BINOCULARS for Efficient, Nonmyopic Sequential Experimental Design
Finite-horizon sequential experimental design (SED) arises naturally in many contexts, including hyperparameter tuning in machine learning among more traditional settings.
Automated Model Selection with Bayesian Quadrature
We present a novel technique for tailoring Bayesian quadrature (BQ) to model selection.
Improving Quadrature for Constrained Integrands
We focus on quadrature with nonnegative functions, a common task in Bayesian inference.
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