| SOBER: Scalable batch Bayesian optimization and quadrature using recombination constraints M Adachi, S Hayakawa, S Hamid, M Jørgensen, H Oberhauser, ... arXiv preprint arXiv:2301.11832, 2023 | 7 | 2023 |
| SOBER: Highly parallel Bayesian optimization and Bayesian quadrature over discrete and mixed spaces M Adachi, S Hayakawa, S Hamid, M Jørgensen, H Oberhauser, ... arXiv preprint arXiv:2301.11832, 2023 | 6 | 2023 |
| Marginalising over stationary kernels with Bayesian quadrature S Hamid, S Schulze, MA Osborne, SJ Roberts arXiv preprint arXiv:2106.07452, 2021 | 5 | 2021 |
| Batch selection for parallelisation of Bayesian quadrature E Wagstaff, S Hamid, M Osborne arXiv preprint arXiv:1812.01553, 2018 | 3 | 2018 |
| Bayesian Quadrature for Neural Ensemble Search S Hamid, X Wan, M Jørgensen, B Ru, M Osborne arXiv preprint arXiv:2303.08874, 2023 | 1 | 2023 |
| A Quadrature Approach for General-Purpose Batch Bayesian Optimization via Probabilistic Lifting M Adachi, S Hayakawa, M Jørgensen, S Hamid, H Oberhauser, ... arXiv preprint arXiv:2404.12219, 2024 | | 2024 |
| Bayesian quadrature for Gaussian process kernel learning, neural ensemble search, and high dimensional integrands S Hamid University of Oxford, 2023 | | 2023 |
