Janek Thomas
Ludwig-Maximilians-Universität München(DE)
Publications by Year
Research Areas
Machine Learning and Data Classification, Advanced Multi-Objective Optimization Algorithms, Metaheuristic Optimization Algorithms Research, Machine Learning and Algorithms, Statistical Methods and Inference
Most-Cited Works
- → Hyperparameter optimization: Foundations, algorithms, best practices, and open challenges(2023)726 cited
- → mlrMBO: A Modular Framework for Model-Based Optimization of Expensive Black-Box Functions(2017)134 cited
- → Regularized target encoding outperforms traditional methods in supervised machine learning with high cardinality features(2022)131 cited
- → Multi-Objective Hyperparameter Optimization in Machine Learning—An Overview(2023)75 cited
- → Gradient boosting for distributional regression: faster tuning and improved variable selection via noncyclical updates(2017)72 cited
- → mlrMBO: Bayesian Optimization and Model-Based Optimization of Expensive Black-Box Functions(2017)64 cited
- → Hyperparameter Optimization: Foundations, Algorithms, Best Practices and Open Challenges(2021)49 cited
- → An Open Source AutoML Benchmark(2019)48 cited
- → Probing for Sparse and Fast Variable Selection with Model-Based Boosting(2017)40 cited
- → Automated Machine Learning(2024)30 cited