| Sherpa: Robust hyperparameter optimization for machine learning L Hertel, J Collado, P Sadowski, J Ott, P Baldi SoftwareX 12, 100591, 2020 | 127 | 2020 |
| Approximate inference for deep latent gaussian mixtures E Nalisnick, L Hertel, P Smyth NIPS Workshop on Bayesian Deep Learning 2, 131, 2016 | 105 | 2016 |
| Improved energy reconstruction in NOvA with regression convolutional neural networks P Baldi, J Bian, L Hertel, L Li Physical Review D 99 (1), 012011, 2019 | 45 | 2019 |
| Sherpa: hyperparameter optimization for machine learning models L Hertel, J Collado, P Sadowski, P Baldi | 28 | 2018 |
| Reproducible hyperparameter optimization L Hertel, P Baldi, DL Gillen Journal of Computational and Graphical Statistics 31 (1), 84-99, 2022 | 11 | 2022 |
| Quantity vs. quality: On hyperparameter optimization for deep reinforcement learning L Hertel, P Baldi, DL Gillen arXiv preprint arXiv:2007.14604, 2020 | 8 | 2020 |
| On Hyperparameter Optimization for Deep Learning L Hertel University of California, Irvine, 2020 | | 2020 |
