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Found 2 papers, 2 papers with code
AutoPrognosis: Automated Clinical Prognostic Modeling via Bayesian Optimization with Structured Kernel Learning
AUTOPROGNOSIS optimizes ensembles of pipeline configurations efficiently using a novel batched Bayesian optimization (BO) algorithm that learns a low-dimensional decomposition of the pipelines’ high-dimensional hyperparameter space in concurrence with the BO procedure.
Limits of Estimating Heterogeneous Treatment Effects: Guidelines for Practical Algorithm Design
Estimating heterogeneous treatment effects from observational data is a central problem in many domains.
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