| Scalable hyperparameter transfer learning V Perrone, R Jenatton, MW Seeger, C Archambeau Advances in Neural Information Processing Systems, 6845-6855, 2018 | 32 | 2018 |
| Poisson Random Fields for Dynamic Feature Models V Perrone, PA Jenkins, D Spano, YW Teh Journal of Machine Learning Research 18 (127), 1-45, 2017 | 30 | 2017 |
| Relativistic Monte Carlo X Lu*, V Perrone*, L Hasenclever, YW Teh, SJ Vollmer, (*joint first author) Proceedings of the 20th International Conference on Artificial Intelligence …, 2017 | 27 | 2017 |
| A Likelihood-Free Inference Framework for Population Genetic Data using Exchangeable Neural Networks J Chan, V Perrone, JP Spence, PA Jenkins, S Mathieson, YS Song Advances in Neural Information Processing Systems, 8603-8614, 2018 | 21 | 2018 |
| Multiple adaptive Bayesian linear regression for scalable Bayesian optimization with warm start V Perrone, R Jenatton, M Seeger, C Archambeau Advances in Neural Information Processing Systems Workshop on Meta-Learning, 2017 | 11 | 2017 |
| Learning search spaces for Bayesian optimization: Another view of hyperparameter transfer learning V Perrone, H Shen, MW Seeger, C Archambeau, R Jenatton Advances in Neural Information Processing Systems, 12771-12781, 2019 | 6 | 2019 |
| GASC: Genre-Aware Semantic Change for Ancient Greek V Perrone, M Palma, S Hengchen, A Vatri, JQ Smith, B McGillivray ACL International Workshop on Computational Approaches to Historical …, 2019 | 5 | 2019 |
| Constrained Bayesian Optimization with Max-Value Entropy Search V Perrone, I Shcherbatyi, R Jenatton, C Archambeau, M Seeger Advances in Neural Information Processing Systems Workshop on Meta-Learning, 2019 | 3 | 2019 |
| A Copula approach for hyperparameter transfer learning D Salinas, H Shen, V Perrone Advances in Neural Information Processing Systems Workshop on Meta-Learning, 2019 | 1 | 2019 |
| Fair Bayesian Optimization V Perrone, M Donini, K Kenthapadi, C Archambeau International Conference on Machine Learning Workshop on AutoML, 2020 | | 2020 |
| Cost-aware Bayesian Optimization EH Lee, V Perrone, C Archambeau, M Seeger International Conference on Machine Learning Workshop on AutoML, 2020 | | 2020 |
| Bayesian models for scalable machine learning V Perrone University of Oxford, University of Warwick, 2018 | | 2018 |
| Bayesian Optimization with Fairness Constraints V Perrone, M Donini, K Kenthapadi, C Archambeau | | |
| A quantile-based approach for hyperparameter transfer learning D Salinas, H Shen, V Perrone | | |
Cédric ArchambeauAmazon Web Services, BerlinVerified email at amazon.com
