| Fast bayesian optimization of machine learning hyperparameters on large datasets A Klein, S Falkner, S Bartels, P Hennig, F Hutter Artificial intelligence and statistics, 528-536, 2017 | 744 | 2017 |
| Fast bayesian hyperparameter optimization on large datasets A Klein, S Falkner, S Bartels, P Hennig, F Hutter | 80 | 2017 |
| Towards efficient Bayesian optimization for big data A Klein, S Bartels, S Falkner, P Hennig, F Hutter NIPS 2015 Bayesian Optimization Workshop, 2015 | 34 | 2015 |
| Probabilistic linear solvers: a unifying view S Bartels, J Cockayne, ICF Ipsen, P Hennig Statistics and Computing 29, 1249-1263, 2019 | 32 | 2019 |
| Probabilistic approximate least-squares S Bartels, P Hennig Artificial Intelligence and Statistics, 676-684, 2016 | 18 | 2016 |
| Conjugate gradients for kernel machines S Bartels, P Hennig Journal of Machine Learning Research 21 (55), 1-42, 2020 | 8 | 2020 |
| Fast bayesian optimization of machine learning hyperparameters on large datasets, arXiv A Klein, S Falkner, S Bartels, P Hennig, F Hutter preprint, 2017 | 8 | 2017 |
| Assessing the performance of protein regression models R Michael, J Kæstel-Hansen, PM Groth, S Bartels, J Salomon, P Tian, ... bioRxiv, 2023.06. 18.545472, 2023 | 4 | 2023 |
| Adaptive Cholesky Gaussian Processes S Bartels, K Stensbo-Smidt, P Moreno-Muñoz, W Boomsma, J Frellsen, ... International Conference on Artificial Intelligence and Statistics, 408-452, 2023 | 3 | 2023 |
| A systematic analysis of regression models for protein engineering R Michael, J Kæstel-Hansen, P Mørch Groth, S Bartels, J Salomon, P Tian, ... PLOS Computational Biology 20 (5), e1012061, 2024 | 2 | 2024 |
| Kernel-matrix determinant estimates from stopped Cholesky decomposition S Bartels, W Boomsma, J Frellsen, D Garreau Journal of Machine Learning Research 24 (71), 1-57, 2023 | 2 | 2023 |
| A survey and benchmark of high-dimensional Bayesian optimization of discrete sequences M González-Duque, R Michael, S Bartels, Y Zainchkovskyy, S Hauberg, ... arXiv preprint arXiv:2406.04739, 2024 | 1 | 2024 |
| A Continuous Relaxation for Discrete Bayesian Optimization R Michael, S Bartels, M González-Duque, Y Zainchkovskyy, J Frellsen, ... arXiv preprint arXiv:2404.17452, 2024 | 1 | 2024 |
| Probabilistic linear algebra S Bartels Universität Tübingen, 2021 | 1 | 2021 |
