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Author

Virginia Aglietti

Observed name: Aglietti, Virginia
ORCID: 0009-0005-4797-7147
Observed ORCID: 0009-0005-4797-7147
OpenAlex ID: A5069860600
BIG-Bench Extra Hard
2025 · Mehran Kazemi, Bahare Fatemi, et al. · Proceedings of the conference - Association for Computational Linguistics. Meeting · 15
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Causal Bayesian Optimization
2020 · Aglietti, Virginia, Lu, Xiaoyu, et al. · arXiv (Cornell University) · 15
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Price and Non-price Determinants of the Illicit Cigarette Trade: Analysis at the Subnational Level in the EU
2017 · Francesco Calderoni, Marco Dugato, et al. · Springer eBooks · 12
Multi-task Causal Learning with Gaussian Processes
2020 · Aglietti, Virginia, Damoulas, Theodoros, et al. · Warwick Research Archive Portal (University of Warwick) · 9
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Dynamic Causal Bayesian Optimization
2021 · Aglietti, Virginia, Dhir, Neil, et al. · arXiv (Cornell University) · 7
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Structured Variational Inference in Continuous Cox Process Models
2019 · Aglietti, Virginia, Bonilla, Edwin V., et al. · Warwick Research Archive Portal (University of Warwick) · 6
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Efficient Inference in Multi-task Cox Process Models
2018 · Aglietti, Virginia, Damoulas, Theodoros, et al. · arXiv (Cornell University) · 4
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Causal Bayesian Optimization
2024 · Aglietti, Virginia · TIB Data Manager · 2
Gradient-informed neural networks: Embedding prior beliefs for learning in low-data scenarios
2026 · Filippo Aglietti, Francesco Della Santa, et al. · Neural Networks · 1
FunBO: Discovering Acquisition Functions for Bayesian Optimization with FunSearch
2024 · Aglietti, Virginia, Ktena, Ira, et al. · arXiv (Cornell University) · 1
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Additive Causal Bandits with Unknown Graph
2023 · Malek, Alan, Aglietti, Virginia, et al. · arXiv (Cornell University) · 1
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Constrained Causal Bayesian Optimization
2023 · Aglietti, Virginia, Malek, Alan, et al. · arXiv (Cornell University) · 1
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On the competitive facility location problem with a Bayesian spatial interaction model
2023 · Shanaka Perera, Virginia Aglietti, et al. · Journal of the Royal Statistical Society Series C (Applied Statistics) · 1
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Causal Entropy Optimization
2022 · Branchini, Nicola, Aglietti, Virginia, et al. · arXiv (Cornell University) · 1
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BayesAME: Bayesian Active Model Evaluation
2026 · Encinar, Paula Cordero, Cemgil, Taylan, et al. · arXiv (Cornell University)
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Rich Insights from Cheap Signals: Efficient Evaluations via Tensor Factorization
2026 · Polo, Felipe Maia, Nematzadeh, Aida, et al. · arXiv (Cornell University)
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BIG-Bench Extra Hard
2025 · Kazemi, Mehran, Fatemi, Bahare, et al. · arXiv (Cornell University)
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Prompting Strategies for Enabling Large Language Models to Infer Causation from Correlation
2024 · Sgouritsa, Eleni, Aglietti, Virginia, et al. · arXiv (Cornell University)
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GradINN: Gradient Informed Neural Network
2024 · Aglietti, Filippo, Della Santa, Francesco, et al. · arXiv (Cornell University)
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Functional Causal Bayesian Optimization
2023 · Gultchin, Limor, Aglietti, Virginia, et al. · arXiv (Cornell University)
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A variational Bayesian spatial interaction model for estimating revenue and demand at business facilities
2021 · Perera, Shanaka, Aglietti, Virginia, et al. · arXiv (Cornell University)
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Efficient inference in multi-task Cox process models
2019 · Virginia Aglietti, Damoulas Theodoros, et al. · University of Warwick
Log Gaussian Cox Process Networks.
2018 · Virginia Aglietti, Theodoros Damoulas, et al. · arXiv (Cornell University)
Works count: 26
Citation count: 76
H-index: 6
I10-index: 3
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