2023

Branchini, N., Aglietti, Virginia, Dhir, N. and Damoulas, Theodoros (2023) Causal entropy optimization. In: 26th International Conference on Artificial Intelligence and Statistics (AISTATS), Valencia, Spain, 25 - 27 Apr 2023. Published in: Proceedings of Machine Learning Research ISSN 2640-3498. (In Press)

Perera, Shanaka, Aglietti, Virginia and Damoulas, Theodoros (2023) On the competitive facility location problem with a Bayesian spatial interaction model. Journal of the Royal Statistical Society Series C: Applied Statistics . qlad003. doi:10.1093/jrsssc/qlad003 ISSN 1467-9876. (In Press)

2021

Aglietti, Virginia, Dhir, N., Gonzalez, J. and Damoulas, Theodoros (2021) Dynamic causal Bayesian optimisation. In: Thirty-fourth Conference on Neural Information Processing Systems (NeurIPS 2021), Virtual, 6-14 Dec 2021. Published in: Advances in Neural Information Processing Systems, 34 pp. 10549-10560.

2020

Aglietti, Virginia, Damoulas, Theodoros, Alvarez, Mauricio and Gonzalez, Javier (2020) Multi-task causal learning with Gaussian processes. In: Thirty-fourth Conference on Neural Information Processing Systems, Virtual conference, 7-12 Dec 2020. Published in: Advances in Neural Information Processing Systems 33 (NeurIPS 2020), 33 pp. 6293-6304.

2019

Aglietti, Virginia, Bonilla, Edwin, Damoulas, Theodoros and Cripps, Sally (2019) Structured variational inference in continuous Cox Process Models. In: NeurIPS 2019 : 33rd Conference on Neural Information Processing Systems, Canada, 8-14 Dec 2019. Published in: 33nd Conference on Neural Information Processing Systems (NeurIPS 2019) Vancouver, Canada, 8-14 December 2019, 32

Aglietti, Virginia, Theodoros, Damoulas and Bonilla, Edwin (2019) Efficient inference in multi-task Cox process models. In: The 22nd International Conference on Artificial Intelligence and Statistics, AISTATS 2019, Naha, Okinawa, Japan, 16-18 Apr 2019. Published in: Proceedings of Machine Learning Research, 89 pp. 537-546.