| High-dimensional bayesian optimization with multi-task learning for rocksdb S Alabed, E Yoneki Proceedings of the 1st Workshop on Machine Learning and Systems, 111-119, 2021 | 18 | 2021 |
| BoGraph: structured Bayesian optimization from logs for expensive systems with many parameters S Alabed, E Yoneki Proceedings of the 2nd European Workshop on Machine Learning and Systems, 45-53, 2022 | 6 | 2022 |
| RLCache: automated cache management using reinforcement learning S Alabed arXiv preprint arXiv:1909.13839, 2019 | 5 | 2019 |
| PartIR: Composing SPMD Partitioning Strategies for Machine Learning S Alabed, B Chrzaszcz, J Franco, D Grewe, D Maclaurin, J Molloy, ... arXiv preprint arXiv:2401.11202, 2024 | | 2024 |
| Automatic Discovery of Composite SPMD Partitioning Strategies in PartIR S Alabed, D Grewe, J Franco, B Chrzaszcz, T Natan, T Norman, NA Rink, ... arXiv preprint arXiv:2210.06352, 2022 | | 2022 |
| RLFlow: Optimising Neural Network Subgraph Transformation with World Models S Parker, S Alabed, E Yoneki arXiv preprint arXiv:2205.01435, 2022 | | 2022 |
Eiko YonekiComputer Laboratory, University of CambridgeDirección de correo verificada de cl.cam.ac.uk
