690 citations · 1.5k across the 11 of their papers we have counts for
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cs.LG2021★ 4 cited
Computationally Efficient High-Dimensional Bayesian Optimization via Variable Selection
Yihang Shen, Carl Kingsford
Bayesian Optimization (BO) is a method for globally optimizing black-box functions. While BO has been successfully applied to many scenarios, developing effective BO algorithms tha…
cs.LG2019
How much data is sufficient to learn high-performing algorithms? Generalization guarantees for data-driven algorithm design
Maria-Florina Balcan, Dan DeBlasio, Travis Dick +3
Algorithms often have tunable parameters that impact performance metrics such as runtime and solution quality. For many algorithms used in practice, no parameter settings admit mea…