Log Gaussian Cox Process Networks. - Virginia Aglietti; Theodoros Damoulas; Edwin V. Bonilla (CoRR, 2018)

Efficient Inference in Multi-task Cox Process Models. - Virginia Aglietti; Theodoros Damoulas; Edwin V. Bonilla (AISTATS, 2019)

Structured Variational Inference in Continuous Cox Process Models. - Virginia Aglietti; Edwin V. Bonilla; Theodoros Damoulas; Sally Cripps (NeurIPS, 2019)

Causal Bayesian Optimization. - Virginia Aglietti; Xiaoyu Lu; Andrei Paleyes; Javier González 002 (AISTATS, 2020)

Multi-task Causal Learning with Gaussian Processes. - Virginia Aglietti; Theodoros Damoulas; Mauricio A. Álvarez; Javier González 002 (NeurIPS, 2020)

Dynamic Causal Bayesian Optimization. - Virginia Aglietti; Neil Dhir; Javier González 002; Theodoros Damoulas (NeurIPS, 2021)

A variational Bayesian spatial interaction model for estimating revenue and demand at business facilities. - Shanaka Perera; Virginia Aglietti; Theodoros Damoulas (CoRR, 2021)

Causal Entropy Optimization. - Nicola Branchini; Virginia Aglietti; Neil Dhir; Theodoros Damoulas (AISTATS, 2023)

Constrained Causal Bayesian Optimization. - Virginia Aglietti; Alan Malek; Ira Ktena; Silvia Chiappa (ICML, 2023)

Additive Causal Bandits with Unknown Graph. - Alan Malek; Virginia Aglietti; Silvia Chiappa (ICML, 2023)

Functional causal Bayesian optimization. - Limor Gultchin; Virginia Aglietti; Alexis Bellot; Silvia Chiappa (UAI, 2023)

FunBO: Discovering Acquisition Functions for Bayesian Optimization with FunSearch. - Virginia Aglietti; Ira Ktena; Jessica Schrouff; Eleni Sgouritsa; Francisco J. R. Ruiz; Alan Malek; Alexis Bellot; Silvia Chiappa (CoRR, 2024)

GradINN: Gradient Informed Neural Network. - Filippo Aglietti; Francesco Della Santa; Andrea Piano; Virginia Aglietti (CoRR, 2024)

Prompting Strategies for Enabling Large Language Models to Infer Causation from Correlation. - Eleni Sgouritsa; Virginia Aglietti; Yee Whye Teh; Arnaud Doucet; Arthur Gretton; Silvia Chiappa (CoRR, 2024)

BIG-Bench Extra Hard. - Mehran Kazemi; Bahare Fatemi; Hritik Bansal; John Palowitch; Chrysovalantis Anastasiou; Sanket Vaibhav Mehta; Lalit K. Jain; Virginia Aglietti; Disha Jindal; Peter Chen; Nishanth Dikkala; Gladys Tyen; et al. (ACL (1), 2025)

BIG-Bench Extra Hard. - Mehran Kazemi; Bahare Fatemi; Hritik Bansal; John Palowitch; Chrysovalantis Anastasiou; Sanket Vaibhav Mehta; Kshitij Jain 001; Virginia Aglietti; Disha Jindal; Peter Chen; Nishanth Dikkala; Gladys Tyen; et al. (CoRR, 2025)