Search Results for author: Jonathan S Kim

Found 1 papers, 0 papers with code

AutoML for Contextual Bandits

no code implementations7 Sep 2019 Praneet Dutta, Joe Cheuk, Jonathan S Kim, Massimo Mascaro

We see that our model is able to perform much better than random exploration, being more regret efficient and able to converge with a limited number of samples, while remaining very general and easy to use due to the meta-learning approach.

AutoML Feature Engineering +4

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