| On random embeddings and their application to optimisation Z Shao arXiv preprint arXiv:2206.03371, 2022 | 14 | 2022 |
| Randomised subspace methods for non-convex optimization, with applications to nonlinear least-squares C Cartis, J Fowkes, Z Shao arXiv preprint arXiv:2211.09873, 2022 | 8 | 2022 |
| A randomised subspace Gauss-Newton method for nonlinear least-squares C Cartis, J Fowkes, Z Shao arXiv preprint arXiv:2211.05727, 2022 | 8 | 2022 |
| Hashing embeddings of optimal dimension, with applications to linear least squares C Cartis, J Fiala, Z Shao arXiv preprint arXiv:2105.11815, 2021 | 6 | 2021 |
| Dimensionless anomaly detection on multivariate streams with variance norm and path signature Z Shao, RSY Chan, T Cochrane, P Foster, T Lyons arXiv preprint arXiv:2006.03487, 2020 | 2 | 2020 |
| Improving readout of a superconducting qubit using the path signature method S Cao, Z Shao, JQ Zheng, M Alghadeer, SD Fasciati, M Piscitelli, ... Bulletin of the American Physical Society, 2024 | | 2024 |
| Quantum state discrimination enhanced by path signature S Cao, Z Shao, JQ Zheng, M Alghadeer, SD Fasciati, M Piscitelli, ... arXiv preprint arXiv:2402.09532, 2024 | | 2024 |
| Neural Controlled Differential Equations with Quantum Hidden Evolutions Y Lingyi, S Zhen ICLR 2024 Tiny Paper, 2024 | | 2024 |
| Johnson-Lindenstrauss embeddings for noisy vectors--taking advantage of the noise Z Shao arXiv preprint arXiv:2209.01006, 2022 | | 2022 |
| Random-subspace adaptive cubic regularisation method for nonconvex optimisation Z Shao, C Cartis | | 2022 |
| Improving dispersive readout of a superconducting qubit by machine learning on path signature S Cao, Z Shao, JQ Zheng, M Bakr, P Leek, T Lyons | | |
Coralia CartisUniversity of OxfordVerified email at maths.ox.ac.uk
