| Efficient and robust automated machine learning M Feurer, A Klein, K Eggensperger, J Springenberg, M Blum, F Hutter Advances in Neural Information Processing Systems, 2962-2970, 2015 | 2487 | 2015 |
| Deep learning with convolutional neural networks for EEG decoding and visualization RT Schirrmeister, JT Springenberg, LDJ Fiederer, M Glasstetter, ... Human brain mapping, 2017 | 2179 | 2017 |
| Towards an empirical foundation for assessing Bayesian optimization of hyperparameters K Eggensperger, M Feurer, F Hutter, J Bergstra, J Snoek, H Hoos, ... NeurIPS workshop on Bayesian Optimization in Theory and Practice 10, 2013 | 432 | 2013 |
| Auto-sklearn 2.0: Hands-free automl via meta-learning M Feurer, K Eggensperger, S Falkner, M Lindauer, F Hutter The Journal of Machine Learning Research 23 (1), 11936-11996, 2022 | 297* | 2022 |
| SMAC3: A versatile Bayesian optimization package for hyperparameter optimization M Lindauer, K Eggensperger, M Feurer, A Biedenkapp, D Deng, ... The Journal of Machine Learning Research 23 (1), 2475-2483, 2022 | 252* | 2022 |
| Efficient benchmarking of hyperparameter optimizers via surrogates K Eggensperger, F Hutter, HH Hoos, K Leyton-brown Proceedings of the 29th AAAI Conference on Artificial Intelligence, 1114-1120, 2015 | 151* | 2015 |
| Practical Automated Machine Learning for the AutoML Challenge 2018 M Feurer, K Eggensperger, S Falkner, M Lindauer, F Hutter ICML 2018 AutoML Workshop, 2018 | 95 | 2018 |
| HPOBench: A Collection of Reproducible Multi-Fidelity Benchmark Problems for HPO K Eggensperger, P Müller, N Mallik, M Feurer, R Sass, A Klein, N Awad, ... Neural Information Processing Systems Track on Datasets and Benchmarks …, 2021 | 64 | 2021 |
| Pitfalls and Best Practices in Algorithm Configuration K Eggensperger, M Lindauer, F Hutter Journal of Artificial Intelligence Research (JAIR) 64, 861-893, 2019 | 61 | 2019 |
| Efficient Benchmarking of Algorithm Configurators via Model-based Surrogates K Eggensperger, M Lindauer, HH Hoos, F Hutter, K Leyton-Brown Machine Learning 101 (1), 15-41, 2018 | 60 | 2018 |
| TabPFN: A Transformer That Solves Small Tabular Classification Problems in a Second N Hollmann, S Müller, K Eggensperger, F Hutter International Conference on Learning Representations (ICLR'23), 2023 | 59 | 2023 |
| Efficient Parameter Importance Analysis via Ablation with Surrogates A Biedenkapp, M Lindauer, K Eggensperger, F Hutter, C Fawcett, ... Proceedings of the AAAI conference, 2017 | 48 | 2017 |
| BOAH: A Tool Suite for Multi-Fidelity Bayesian Optimization & Analysis of Hyperparameters M Lindauer, K Eggensperger, M Feurer, A Biedenkapp, J Marben, ... arXiv preprint arXiv:1908.06756, 2019 | 40 | 2019 |
| Neural Networks for Predicting Algorithm Runtime Distributions K Eggensperger, M Lindauer, F Hutter Proceedings of the International Joint Conference on Artificial Intelligence …, 2018 | 30 | 2018 |
| Towards Assessing the Impact of Bayesian Optimization's Own Hyperparameters M Lindauer, M Feurer, K Eggensperger, A Biedenkapp, F Hutter arXiv preprint arXiv:1908.06674, 2019 | 18 | 2019 |
| Automatic Bone Parameter Estimation for Skeleton Tracking in Optical Motion Capture T Schubert, K Eggensperger, A Gkogkidis, F Hutter, T Ball, W Burgard Proceedings of the IEEE International Conference on Robotics and Automation …, 2016 | 16 | 2016 |
| Neural Model-based Optimization with Right-Censored Observations K Eggensperger, K Haase, P Müller, M Lindauer, F Hutter arXiv preprint arXiv:2009.13828, 2020 | 6 | 2020 |
| Squirrel: A Switching Hyperparameter Optimizer N Awad, G Shala, D Deng, N Mallik, M Feurer, K Eggensperger, ... arXiv preprint arXiv:2012.08180, 2020 | 5 | 2020 |
| Can Fairness be Automated? Guidelines and Opportunities for Fairness-aware AutoML H Weerts, F Pfisterer, M Feurer, K Eggensperger, E Bergman, N Awad, ... arXiv preprint arXiv:2303.08485, 2023 | 3 | 2023 |
| Filtering Outliers in Bayesian Optimization R Martinez-Cantin, K Tee, M McCourt, K Eggensperger | 2 | 2017 |
Frank HutterProfessor of Computer Science, University of Freiburg, GermanyBestätigte E-Mail-Adresse bei cs.uni-freiburg.de
