54 citations · 227 across the 36 of their papers we have counts for
Showing 2019 · cs.LGShow all
2 papers · 2 filters
cs.LG2019★ 17 cited
Towards AutoML in the presence of Drift: first results
Jorge G. Madrid, Hugo Jair Escalante, Eduardo F. Morales +5
Research progress in AutoML has lead to state of the art solutions that can cope quite wellwith supervised learning task, e.g., classification with AutoSklearn. However, so far the…
cs.LG2019★ 5 cited
Automated Machine Learning with Monte-Carlo Tree Search
Herilalaina Rakotoarison, Marc Schoenauer, Michèle Sebag
The AutoML task consists of selecting the proper algorithm in a machine learning portfolio, and its hyperparameter values, in order to deliver the best performance on the dataset a…