| Hyperparameter optimization: Foundations, algorithms, best practices, and open challenges B Bischl, M Binder, M Lang, T Pielok, J Richter, S Coors, J Thomas, ... Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery 13 (2 …, 2023 | 584 | 2023 |
| SMAC3: A versatile Bayesian optimization package for hyperparameter optimization M Lindauer, K Eggensperger, M Feurer, A Biedenkapp, D Deng, ... Journal of Machine Learning Research 23 (54), 1-9, 2022 | 391 | 2022 |
| Carolin Benjamins, Tim Ruhkopf, René Sass, and Frank Hutter. 2022. SMAC3: A Versatile Bayesian Optimization Package for Hyperparameter Optimization M Lindauer, K Eggensperger, M Feurer, A Biedenkapp, D Deng Journal of Machine Learning Research 23 (54), 1-9, 2022 | 46 | 2022 |
| AutoML in the Age of Large Language Models: Current Challenges, Future Opportunities and Risks A Tornede, D Deng, T Eimer, J Giovanelli, A Mohan, T Ruhkopf, S Segel, ... arXiv preprint arXiv:2306.08107, 2023 | 37 | 2023 |
| Bag of Baselines for Multi-objective Joint Neural Architecture Search and Hyperparameter Optimization J Guerrero-Viu, S Hauns, S Izquierdo, G Miotto, S Schrodi, A Biedenkapp, ... arXiv preprint arXiv:2105.01015, 2021 | 19 | 2021 |
| Efficient automated deep learning for time series forecasting D Deng, F Karl, F Hutter, B Bischl, M Lindauer Joint European Conference on Machine Learning and Knowledge Discovery in …, 2022 | 18 | 2022 |
| MASIF: Meta-learned Algorithm Selection using Implicit Fidelity Information T Ruhkopf, A Mohan, D Deng, A Tornede, F Hutter, M Lindauer Transactions on Machine Learning Research, 2022 | 15 | 2022 |
| Bag of Baselines for Multi-objective Joint Neural Architecture Search and Hyperparameter Optimization S Izquierdo, J Guerrero-Viu, S Hauns, G Miotto, S Schrodi, A Biedenkapp, ... 8th ICML Workshop on Automated Machine Learning (AutoML), 2021 | 15 | 2021 |
| Hyperparameter optimization: Foundations, algorithms, best practices and open challenges. arXiv B Bischl, M Binder, M Lang, T Pielok, J Richter, S Coors, J Thomas, ... arXiv preprint arXiv:2107.05847, 2021 | 15 | 2021 |
| Literature on neural architecture search D Deng, M Lindauer | 10 | 2016 |
| Squirrel: A Switching Hyperparameter Optimizer N Awad, G Shala, D Deng, N Mallik, M Feurer, K Eggensperger, ... arXiv preprint arXiv:2012.08180, 2020 | 6 | 2020 |
| Searching in the Forest for Local Bayesian Optimization D Deng, M Lindauer ECMLPKDD Workshop on Meta-Knowledge Transfer, 38-50, 2022 | 2 | 2022 |
| Optimizing Time Series Forecasting Architectures: A Hierarchical Neural Architecture Search Approach D Deng, M Lindauer arXiv preprint arXiv:2406.05088, 2024 | | 2024 |
| Supplementary Material for Searching in the Forest for Local Bayesian Optimization D Deng, M Lindauer | | 2022 |
Marius LindauerLeibniz University Hannover (Germany), Institute of Artificial Intelligence LUH|AI, L3S ResearchVerified email at ai.uni-hannover.de
