48 citations · 60 across the 4 of their papers we have counts for
3 papers · 1 filter
Automatic Gradient Boosting
Janek Thomas, Stefan Coors, Bernd Bischl
Automatic machine learning performs predictive modeling with high performing machine learning tools without human interference. This is achieved by making machine learning applicat…
Automatic Exploration of Machine Learning Experiments on OpenML
Daniel Kühn, Philipp Probst, Janek Thomas +1
Understanding the influence of hyperparameters on the performance of a machine learning algorithm is an important scientific topic in itself and can help to improve automatic hyper…
Probing for sparse and fast variable selection with model-based boosting
Janek Thomas, Tobias Hepp, Andreas Mayr +1
We present a new variable selection method based on model-based gradient boosting and randomly permuted variables. Model-based boosting is a tool to fit a statistical model while p…