| 2025 | ICML | 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 |
| 2025 | ICML | The Limits of Predicting Agents from Behaviour. | Alexis Bellot, Jonathan Richens, Tom Everitt |
| 2024 | AAAI | Scores for Learning Discrete Causal Graphs with Unobserved Confounders. | Alexis Bellot, Junzhe Zhang, Elias Bareinboim |
| 2024 | UAI | Towards Bounding Causal Effects under Markov Equivalence. | Alexis Bellot |
| 2023 | AAAI | Continual Causality: A Retrospective of the Inaugural AAAI-23 Bridge Program. | Martin Mundt, Keiland W. Cooper, Devendra Singh Dhami, Adle H. Ribeiro, James Seale Smith, Alexis Bellot, Tyler L. Hayes |
| 2023 | UAI | Functional causal Bayesian optimization. | Limor Gultchin, Virginia Aglietti, Alexis Bellot, Silvia Chiappa |
| 2022 | ICLR | Neural graphical modelling in continuous-time: consistency guarantees and algorithms. | Alexis Bellot, Kim Branson, Mihaela van der Schaar |
| 2022 | ICML | Continuous-Time Modeling of Counterfactual Outcomes Using Neural Controlled Differential Equations. | Nabeel Seedat, Fergus Imrie, Alexis Bellot, Zhaozhi Qian, Mihaela van der Schaar |
| 2021 | ICML | Policy Analysis using Synthetic Controls in Continuous-Time. | Alexis Bellot, Mihaela van der Schaar |
| 2021 | UAI | Application of kernel hypothesis testing on set-valued data. | Alexis Bellot, Mihaela van der Schaar |
| 2021 | UAI | A kernel two-sample test with selection bias. | Alexis Bellot, Mihaela van der Schaar |
| 2020 | AISTATS | Learning Dynamic and Personalized Comorbidity Networks from Event Data using Deep Diffusion Processes. | Zhaozhi Qian, Ahmed M. Alaa, Alexis Bellot, Mihaela van der Schaar, Jem Rashbass |
| 2020 | AISTATS | Learning Overlapping Representations for the Estimation of Individualized Treatment Effects. | Yao Zhang, Alexis Bellot, Mihaela van der Schaar |
| 2019 | AISTATS | Boosting Transfer Learning with Survival Data from Heterogeneous Domains. | Alexis Bellot, Mihaela van der Schaar |
| 2018 | AISTATS | Tree-based Bayesian Mixture Model for Competing Risks. | Alexis Bellot, Mihaela van der Schaar |