| BO: Augmenting Acquisition Functions with User Beliefs for Bayesian Optimization C Hvarfner, D Stoll, A Souza, M Lindauer, F Hutter, L Nardi 10th International Conference of Learning Representations (ICLR 2022), 2022 | 54 | 2022 |
| Joint Entropy Search for Maximally-Informed Bayesian Optimization C Hvarfner, F Hutter, L Nardi 36th International Conference on Neural Information Processing Systems …, 2022 | 23 | 2022 |
| Learning Skill-Based Industrial Robot Tasks with User Priors M Mayr, C Hvarfner, K Chatzilygeroudis, L Nardi, V Krueger 2022 IEEE 18th International Conference on Automation Science and …, 2022 | 19 | 2022 |
| PriorBand: Practical Hyperparameter Optimization in the Age of Deep Learning N Mallik, E Bergman, C Hvarfner, D Stoll, M Janowski, M Lindauer, ... 37th International Conference on Neural Information Processing Systems …, 2023 | 11* | 2023 |
| Self-Correcting Bayesian Optimization through Bayesian Active Learning C Hvarfner, E Hellsten, F Hutter, L Nardi 37th International Conference on Neural Information Processing Systems …, 2023 | 5 | 2023 |
| A General Framework for User-Guided Bayesian Optimization C Hvarfner, F Hutter, L Nardi 12th International Conference of Learning Representations (ICLR 2024), 2023 | 1 | 2023 |
| High-dimensional Bayesian Optimization with Group Testing EO Hellsten, C Hvarfner, L Papenmeier, L Nardi arXiv preprint arXiv:2310.03515, 2023 | 1 | 2023 |
| Vanilla Bayesian Optimization Performs Great in High Dimensions C Hvarfner, EO Hellsten, L Nardi 41st International Conference of Machine Learning (ICML 2024), 2024 | | 2024 |
Luigi NardiAssociate Professor in Machine Learning at Lund University; Research Staff at Stanford University在 cs.lth.se 的电子邮件经过验证
