| Estimating Individual Treatment Effects using Non-Parametric Regression Models: a Review A Caron, G Baio, I Manolopoulou Journal of the Royal Statistical Society: Series A (Statistics in Society …, 2022 | 59 | 2022 |
| Shrinkage Bayesian causal forests for heterogeneous treatment effects estimation A Caron, G Baio, I Manolopoulou Journal of Computational and Graphical Statistics 31 (4), 1202-1214, 2022 | 28* | 2022 |
| Entity-based reinforcement learning for autonomous cyber defence IS Thompson, A Caron, C Hicks, V Mavroudis Proceedings of the Workshop on Autonomous Cybersecurity, 56-67, 2024 | 3 | 2024 |
| Counterfactual Learning with Multioutput Deep Kernels A Caron, G Baio, I Manolopoulou Transaction on Machine Learning Research (TMLR), 2022 | 3 | 2022 |
| Interpretable Deep Causal Learning for Moderation Effects A Caron, G Baio, I Manolopoulou ICML 2022, 2nd Interpretable Machine Learning for Healthcare Workshop, 2022 | 3 | 2022 |
| A View on Out-of-Distribution Identification from a Statistical Testing Theory Perspective A Caron, C Hicks, V Mavroudis Trustworthy AI Workshop, 33rd International Joint Conference on Artificial …, 2024 | 1 | 2024 |
| Structure Learning with Adaptive Random Neighborhood Informed MCMC X Liang, A Caron, S Livingstone, J Griffin Advances in Neural Information Processing Systems 36, 40760-40772, 2023 | 1* | 2023 |
| Inherently Interpretable and Uncertainty-Aware Models for Online Learning in Cyber-Security Problems B Kolicic, A Caron, C Hicks, V Mavroudis arXiv preprint arXiv:2411.09393, 2024 | | 2024 |
| The Whys and Hows of Active Exploration in Model-Based Reinforcement Learning A Caron, C Hicks, V Mavroudis Seventeenth European Workshop on Reinforcement Learning, 2024 | | 2024 |
| Bayesian Learning in the Counterfactual World A Caron UCL (University College London), 2023 | | 2023 |