| 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 | 17 | 2017 |
| 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 | 15 | 2017 |
| Scalable hyperparameter transfer learning V Perrone, R Jenatton, MW Seeger, C Archambeau Advances in Neural Information Processing Systems, 6845-6855, 2018 | 10 | 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 | 9 | 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 | 7 | 2018 |
| 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 | 1 | 2019 |
| Bayesian models for scalable machine learning V Perrone University of Oxford, University of Warwick, 2018 | | 2018 |
Yee Whye TehProfessor of Statistical Machine Learning, Oxford, Research Scientist, DeepMindVerified email at stats.ox.ac.uk