| Causal Bayesian Optimization V Aglietti, X Lu, A Paleyes, J González International Conference on Artificial Intelligence and Statistics, 3155-3164, 2020 | 99 | 2020 |
| Structured variationally auto-encoded optimization X Lu, J Gonzalez, Z Dai, ND Lawrence International conference on machine learning, 3267-3275, 2018 | 87 | 2018 |
| Relativistic monte carlo X Lu, V Perrone, L Hasenclever, YW Teh, S Vollmer Artificial Intelligence and Statistics, 1236-1245, 2017 | 49 | 2017 |
| Additive Gaussian Processes Revisited X Lu, A Boukouvalas, J Hensman International Conference on Machine Learning, 14358-14383, 2022 | 45 | 2022 |
| Inference trees: Adaptive inference with exploration T Rainforth, Y Zhou, X Lu, YW Teh, F Wood, H Yang, JW van de Meent arXiv preprint arXiv:1806.09550, 2018 | 18 | 2018 |
| On exploration, exploitation and learning in adaptive importance sampling X Lu, T Rainforth, Y Zhou, JW van de Meent, YW Teh arXiv preprint arXiv:1810.13296, 2018 | 13 | 2018 |
| Factoredrl: Leveraging factored graphs for deep reinforcement learning B Balaji, P Christodoulou, X Lu, B Jeon, J Bell-Masterson NeurIPS Deep Reinforcement Learning Workshop, 2020 | 7 | 2020 |
| Collaborative filtering with side information: a gaussian process perspective H Kim, X Lu, S Flaxman, YW Teh arXiv preprint arXiv:1605.07025, 2016 | 5 | 2016 |
| Tucker gaussian process for regression and collaborative filtering H Kim, X Lu, S Flaxman, YW Teh arXiv preprint arXiv:1605.07025, 2016 | 3 | 2016 |
| Explainable Attribution using Additive Gaussian Processes X Lu, A Boukouvalas, J Hensman Sixth Symposium on Advances in Approximate Bayesian Inference, 2024 | 2 | 2024 |
| Structure mapping for transferability of causal models P Pruthi, J González, X Lu, M Fiterau arXiv preprint arXiv:2007.09445, 2020 | 1 | 2020 |
| Trajectory VAE for multi-modal imitation X Lu, J Stuehmer, K Hofmann | 1 | 2018 |
| RECoRD: A Multi-Agent LLM Framework for Reverse Engineering Codebase to Relational Diagram Y Xue, X Lu, Y Bai, H Ng, Y Liu 1st ICML Workshop on Foundation Models for Structured Data, 2025 | | 2025 |
| Daisee: Adaptive Importance Sampling by Balancing Exploration and Exploitation X Lu, T Rainforth, YW Teh Scandinavian Journal of Statistics, 2023 | | 2023 |
| Modelling, inference and optimization in probabilistic machine learning X Lu University of Oxford, 2018 | | 2018 |
| Probabilistic Optimization with Latent Search for Automatic Model Selection X Lu, J González, Z Dai, ND Lawrence | | |
