Aglietti, Virginia

10 publications

ICML 2025 FunBO: Discovering Acquisition Functions for Bayesian Optimization with FunSearch Virginia Aglietti, Ira Ktena, Jessica Schrouff, Eleni Sgouritsa, Francisco Ruiz, Alan Malek, Alexis Bellot, Silvia Chiappa

ICML 2023 Additive Causal Bandits with Unknown Graph Alan Malek, Virginia Aglietti, Silvia Chiappa

AISTATS 2023 Causal Entropy Optimization Nicola Branchini, Virginia Aglietti, Neil Dhir, Theodoros Damoulas

ICML 2023 Constrained Causal Bayesian Optimization Virginia Aglietti, Alan Malek, Ira Ktena, Silvia Chiappa

UAI 2023 Functional Causal Bayesian Optimization Limor Gultchin, Virginia Aglietti, Alexis Bellot, Silvia Chiappa

NeurIPS 2021 Dynamic Causal Bayesian Optimization Virginia Aglietti, Neil Dhir, Javier González, Theodoros Damoulas

AISTATS 2020 Causal Bayesian Optimization Virginia Aglietti, Xiaoyu Lu, Andrei Paleyes, Javier González

NeurIPS 2020 Multi-Task Causal Learning with Gaussian Processes Virginia Aglietti, Theodoros Damoulas, Mauricio Álvarez, Javier González

AISTATS 2019 Efficient Inference in Multi-Task Cox Process Models Virginia Aglietti, Theodoros Damoulas, Edwin V. Bonilla

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