Bayesian Optimization with an Empirical Hardness Model for approximate Nearest Neighbour Search

By Julieta Martinez, James J. Little, Nando de Freitas. 2014

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1. Bobak Shahriari
2. Ziyun Wang
3. Yoshua Bengio
4. Frank Hutter
5. Sergey Levine
6. Kevin Swersky
7. Nando de Freitas
8. Aaron Klein

Citations in the corpus

• Taking the Human Out of the Loop: A Review of Bayesian Optimization (2016, methodology): “We can denote these data as a set of tuples D n = { ( a i , y i ) } ni =1 , where a i indicates which of the K drugs was administered and y i is 1 if the patient was cured and 0 otherwise.”