HyLAP - Publications

Martin Wistuba, Nicolas Schilling, Lars Schmidt-Thieme Scalable Gaussian Process based Transfer Surrogates for Hyperparameter Optimization Machine Learning Volume 107, Issue 1, 2018.

Martin Wistuba, Nicolas Schilling, Lars Schmidt-Thieme Automatic Frankensteining: Creating Complex Ensembles Autonomously SIAM International Conference on Data Mining, SDM 2017, Houston, Texas, USA, 2017.

Martin Wistuba, Nicolas Schilling, Lars Schmidt-Thieme Hyperparameter Optimization Machines International Conference on Data Science and Advanced Analytics, DSAA 2016, Montréal, Canada, 2016.

Nicolas Schilling, Martin Wistuba, Lars Schmidt-Thieme Scalable Hyperparameter Optimization with Products of Gaussian Process Experts European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases, ECML-PKDD 2016, Riva del Garda, Italy, 2016.

Martin Wistuba, Nicolas Schilling, Lars Schmidt-Thieme Two-Stage Transfer Surrogate Model for Automatic Hyperparameter Optimization European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases, ECML-PKDD 2016, Riva del Garda, Italy, 2016.

Nicolas Schilling, Martin Wistuba, Lucas Drumond, Lars Schmidt-Thieme Joint Model Choice and Hyperparameter Optimization with Factorized Multilayer Perceptrons International Conference on Tools with Artificial Intelligence, ICTAI 2015, Vietry sul Mare, Italy, 2015.

Martin Wistuba, Nicolas Schilling, Lars Schmidt-Thieme Sequential Model-Free Hyperparameter Tuning IEEE International Conference on Data Mining, ICDM 2015, Atlantic City, NJ, USA, 2015.

Martin Wistuba, Nicolas Schilling, Lars Schmidt-Thieme Learning Hyperparameter Optimization Initializations International Conference on Data Science and Advanced Analytics, DSAA 2015, Paris, France, 2015.

Nicolas Schilling, Martin Wistuba, Lucas Drumond, Lars Schmidt-Thieme Hyperparameter Optimization with Factorized Multilayer Perceptrons European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases, ECML-PKDD 2015, Porto, Portugal, 2015.

Martin Wistuba, Nicolas Schilling, Lars Schmidt-Thieme Hyperparameter Search Space Pruning - A New Component for Sequential Model-Based Hyperparameter Optimization European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases, ECML-PKDD 2015, Porto, Portugal, 2015.

Martin Wistuba, Nicolas Schilling, Lars Schmidt-Thieme Learning Data Set Similarities for Hyperparameter Optimization Initializations International Workshop on Meta-learning and Algorithm Selection co-located with European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases, MetaSel@ECML-PKDD 2015, Porto, Portugal, 2015.