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Virginia Aglietti
Virginia Aglietti
Google DeepMind
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Causal bayesian optimization
V Aglietti, X Lu, A Paleyes, J González
International Conference on Artificial Intelligence and Statistics, 3155-3164, 2020
422020
Dynamic causal Bayesian optimization
V Aglietti, N Dhir, J González, T Damoulas
Advances in Neural Information Processing Systems 34, 10549-10560, 2021
222021
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
202020
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
132017
Causal entropy optimization
N Branchini, V Aglietti, N Dhir, T Damoulas
International Conference on Artificial Intelligence and Statistics, 8586-8605, 2023
112023
Structured variational inference in continuous cox process models
V Aglietti, EV Bonilla, T Damoulas, S Cripps
Advances in Neural Information Processing Systems 32, 2019
112019
Efficient Inference in Multi-task Cox Process Models
V Aglietti, T Damoulas, E Bonilla
Proceedings of the 22nd International Conference on Artificial Intelligence …, 2018
112018
Additive causal bandits with unknown graph
A Malek, V Aglietti, S Chiappa
International Conference on Machine Learning, 23574-23589, 2023
12023
Constrained causal bayesian optimization
V Aglietti, A Malek, I Ktena, S Chiappa
International Conference on Machine Learning, 304-321, 2023
12023
Functional causal bayesian optimization
L Gultchin, V Aglietti, A Bellot, S Chiappa
Uncertainty in Artificial Intelligence, 756-765, 2023
12023
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
12021
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
2023
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
Efficient Inference in Multi-task Cox Process Models Supplementary Material
V Aglietti, T Damoulas, EV Bonilla
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Artículos 1–18