most citedTensorFlow Estimators: Managing Simplicity vs. Flexibility in High-Level Machine Learning Frameworks

17 citations · 28 across the 2 of their papers we have counts for

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cs.LG2021★ 11 cited

Deep Learning for Bayesian Optimization of Scientific Problems with High-Dimensional Structure

Samuel Kim, Peter Y. Lu, Charlotte Loh +3

Bayesian optimization (BO) is a popular paradigm for global optimization of expensive black-box functions, but there are many domains where the function is not completely a black-b…