| Causal bayesian optimization V Aglietti, X Lu, A Paleyes, J González International Conference on Artificial Intelligence and Statistics, 3155-3164, 2020 | 65 | 2020 |
| Dynamic causal Bayesian optimization V Aglietti, N Dhir, J González, T Damoulas Advances in Neural Information Processing Systems 34, 10549-10560, 2021 | 35 | 2021 |
| Multi-task causal learning with gaussian processes V Aglietti, T Damoulas, M Álvarez, J González Advances in neural information processing systems 33, 6293-6304, 2020 | 25 | 2020 |
| Structured variational inference in continuous cox process models V Aglietti, EV Bonilla, T Damoulas, S Cripps Advances in Neural Information Processing Systems 32, 2019 | 17 | 2019 |
| Price and non-price determinants of the illicit cigarette trade: analysis at the subnational level in the EU F Calderoni, M Dugato, V Aglietti, A Aziani, M Rotondi Dual Markets: Comparative Approaches to Regulation, 267-286, 2017 | 14 | 2017 |
| Causal entropy optimization N Branchini, V Aglietti, N Dhir, T Damoulas International Conference on Artificial Intelligence and Statistics, 8586-8605, 2023 | 13 | 2023 |
| Efficient Inference in Multi-task Cox Process Models V Aglietti, T Damoulas, E Bonilla Proceedings of the 22nd International Conference on Artificial Intelligence …, 2018 | 12 | 2018 |
| Additive causal bandits with unknown graph A Malek, V Aglietti, S Chiappa International Conference on Machine Learning, 23574-23589, 2023 | 8 | 2023 |
| Constrained causal Bayesian optimization V Aglietti, A Malek, I Ktena, S Chiappa International Conference on Machine Learning, 304-321, 2023 | 7 | 2023 |
| Functional causal bayesian optimization L Gultchin, V Aglietti, A Bellot, S Chiappa Uncertainty in Artificial Intelligence, 756-765, 2023 | 4 | 2023 |
| FunBO: Discovering Acquisition Functions for Bayesian Optimization with FunSearch V Aglietti, I Ktena, J Schrouff, E Sgouritsa, FJR Ruiz, A Malek, A Bellot, ... arXiv preprint arXiv:2406.04824, 2024 | 1 | 2024 |
| On the competitive facility location problem with a Bayesian spatial interaction model S Perera, V Aglietti, T Damoulas Journal of the Royal Statistical Society Series C: Applied Statistics 72 (1 …, 2023 | 1 | 2023 |
| A variational Bayesian spatial interaction model for estimating revenue and demand at business facilities S Perera, V Aglietti, T Damoulas arXiv preprint arXiv:2108.02594, 2021 | 1 | 2021 |
| Prompting Strategies for Enabling Large Language Models to Infer Causation from Correlation E Sgouritsa, V Aglietti, YW Teh, A Doucet, A Gretton, S Chiappa arXiv preprint arXiv:2412.13952, 2024 | | 2024 |
| GradINN: Gradient Informed Neural Network F Aglietti, F Della Santa, A Piano, V Aglietti arXiv preprint arXiv:2409.01914, 2024 | | 2024 |
| Structured inference and sequential decision-making with Gaussian processes V Aglietti University of Warwick, 2021 | | 2021 |
| Supplementary Material for “Multi-task Causal Learning with Gaussian Processes” V Aglietti, T Damoulas, MA Álvarez, J González | | |
| Supplementary material for Dynamic Causal Bayesian Optimisation V Aglietti, N Dhir, J González, T Damoulas | | |
| Bridges Colloquia Term V Aglietti Department of Economics B2. 04/5 Chemistry 4 December 14: 00 Jane Hutton …, 0 | | |
| Supplementary Material for “Causal Bayesian Optimization” V Aglietti, X Lu, A Paleyes, J González | | |
Theodoros (Theo) DamoulasProfessor, CS+Stats, University of Warwick - UKRI Turing AI Fellowwarwick.ac.uk의 이메일 확인됨