Virginia Aglietti

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 20

Top Topics

Efficient Inference

Top Venues

Publications

Virginia Aglietti, Ira Ktena, Jessica Schrouff, Eleni Sgouritsa, Francisco J. R. Ruiz, Alan Malek, Alexis Bellot, Silvia Chiappa
FunBO: Discovering Acquisition Functions for Bayesian Optimization with FunSearch. CoRR (2024)
Virginia Aglietti, Alan Malek, Ira Ktena, Silvia Chiappa
Constrained Causal Bayesian Optimization. ICML (2023)
Limor Gultchin, Virginia Aglietti, Alexis Bellot, Silvia Chiappa
Functional causal Bayesian optimization. UAI (2023)
Nicola Branchini, Virginia Aglietti, Neil Dhir, Theodoros Damoulas
Causal Entropy Optimization. AISTATS (2023)
Virginia Aglietti, Alan Malek, Ira Ktena, Silvia Chiappa
Constrained Causal Bayesian Optimization. CoRR (2023)
Alan Malek, Virginia Aglietti, Silvia Chiappa
Additive Causal Bandits with Unknown Graph. CoRR (2023)
Alan Malek, Virginia Aglietti, Silvia Chiappa
Additive Causal Bandits with Unknown Graph. ICML (2023)
Limor Gultchin, Virginia Aglietti, Alexis Bellot, Silvia Chiappa
Functional Causal Bayesian Optimization. CoRR (2023)
Nicola Branchini, Virginia Aglietti, Neil Dhir, Theodoros Damoulas
Causal Entropy Optimization. CoRR (2022)
Virginia Aglietti, Neil Dhir, Javier González, Theodoros Damoulas
Dynamic Causal Bayesian Optimization. NeurIPS (2021)
Virginia Aglietti, Neil Dhir, Javier González, Theodoros Damoulas
Dynamic Causal Bayesian Optimization. CoRR (2021)
Shanaka Perera, Virginia Aglietti, Theodoros Damoulas
A variational Bayesian spatial interaction model for estimating revenue and demand at business facilities. CoRR (2021)
Virginia Aglietti, Theodoros Damoulas, Mauricio Álvarez, Javier González
Multi-task Causal Learning with Gaussian Processes. CoRR (2020)
Virginia Aglietti, Theodoros Damoulas, Mauricio Álvarez, Javier Gonzalez
Multi-task Causal Learning with Gaussian Processes. NeurIPS (2020)
Virginia Aglietti, Xiaoyu Lu, Andrei Paleyes, Javier González
Causal Bayesian Optimization. CoRR (2020)
Virginia Aglietti, Xiaoyu Lu, Andrei Paleyes, Javier González
Causal Bayesian Optimization. AISTATS (2020)
Virginia Aglietti, Theodoros Damoulas, Edwin V. Bonilla
Efficient Inference in Multi-task Cox Process Models. AISTATS (2019)
Virginia Aglietti, Edwin V. Bonilla, Theodoros Damoulas, Sally Cripps
Structured Variational Inference in Continuous Cox Process Models. CoRR (2019)
Virginia Aglietti, Edwin V. Bonilla, Theodoros Damoulas, Sally Cripps
Structured Variational Inference in Continuous Cox Process Models. NeurIPS (2019)
Virginia Aglietti, Theodoros Damoulas, Edwin V. Bonilla
Log Gaussian Cox Process Networks. CoRR (2018)