Sherpa: Robust hyperparameter optimization for machine learning L Hertel, J Collado, P Sadowski, J Ott, P Baldi SoftwareX 12, 100591, 2020 | 148 | 2020 |
Approximate inference for deep latent gaussian mixtures E Nalisnick, L Hertel, P Smyth NIPS Workshop on Bayesian Deep Learning 2, 131, 2016 | 113 | 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 | 52 | 2019 |
Sherpa: hyperparameter optimization for machine learning models L Hertel, J Collado, P Sadowski, P Baldi | 29 | 2018 |
Reproducible hyperparameter optimization L Hertel, P Baldi, DL Gillen Journal of Computational and Graphical Statistics 31 (1), 84-99, 2022 | 18 | 2022 |
Quantity vs. quality: On hyperparameter optimization for deep reinforcement learning L Hertel, P Baldi, DL Gillen arXiv preprint arXiv:2007.14604, 2020 | 11 | 2020 |
On Hyperparameter Optimization for Deep Learning L Hertel University of California, Irvine, 2020 | 1 | 2020 |