136 citations · 418 across the 27 of their papers we have counts for
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stat.ML2017★ 136 cited
mlrMBO: A Modular Framework for Model-Based Optimization of Expensive Black-Box Functions
Bernd Bischl, Jakob Richter, Jakob Bossek +3
We present mlrMBO, a flexible and comprehensive R toolbox for model-based optimization (MBO), also known as Bayesian optimization, which addresses the problem of expensive black-bo…
stat.ML2017★ 43 cited
OpenML: An R Package to Connect to the Machine Learning Platform OpenML
Giuseppe Casalicchio, Jakob Bossek, Michel Lang +6
OpenML is an online machine learning platform where researchers can easily share data, machine learning tasks and experiments as well as organize them online to work and collaborat…