| Generalized spectral kernels YLK Samo, S Roberts arXiv preprint arXiv:1506.02236, 2015 | 67 | 2015 |
| Scalable nonparametric bayesian inference on point processes with gaussian processes YLK Samo, S Roberts Proceedings of The 32nd International Conference on Machine Learning (ICML …, 2014 | 45 | 2014 |
| Stochastic Portfolio Theory: A Machine Learning Perspective YL Kom Samo, A Vervuurt Proceedings of the 32nd Conference on Uncertainty in Artificial Intelligence, 2016 | 31* | 2016 |
| String and Membrane Gaussian Processes YL Samo Kom, S Roberts Journal of Machine Learning Research 17, 1-87, 2016 | 24 | 2016 |
| Advances in Kernel Methods: Towards General-Purpose and Scalable Models YLK Samo University of Oxford, 2017 | 9 | 2017 |
| Inductive mutual information estimation: A convex maximum-entropy copula approach YLK Samo International Conference on Artificial Intelligence and Statistics, 2242-2250, 2021 | 7 | 2021 |
| What Makes An Asset Useful? YLK Samo, D Hendricks arXiv preprint arXiv:1806.08444, 2018 | 4 | 2018 |
| p-markov Gaussian processes for scalable and expressive online Bayesian nonparametric time series forecasting YLK Samo, SJ Roberts arXiv preprint arXiv:1510.02830, 2015 | 3 | 2015 |
| String Gaussian processes YLK Samo, S Roberts arXiv preprint arXiv:1507.06977, 2015 | 3 | 2015 |
| String gaussian process kernels YLK Samo, S Roberts arXiv preprint arXiv:1506.02239, 2015 | 2 | 2015 |
| LeanML: A Design Pattern To Slash Avoidable Wastes in Machine Learning Projects YLK Samo arXiv preprint arXiv:2107.08066, 2021 | 1 | 2021 |
| Stochastic Portfolio Theory: A Machine Learning Approach. YLK Samo, A Vervuurt UAI, 2016 | 1 | 2016 |
| MIND: Inductive Mutual Information Estimation, A Convex Maximum-Entropy Copula Approach YLK Samo arXiv preprint arXiv:2102.13182, 2021 | | 2021 |
| What Makes An Asset Useful? YL Kom Samo, D Hendricks arXiv e-prints, arXiv: 1806.08444, 2018 | | 2018 |
| String and Membrane Gaussian Processes YL Kom Samo, S Roberts arXiv e-prints, arXiv: 1507.06977, 2015 | | 2015 |
| String Gaussian Process Kernels YL Kom Samo, S Roberts arXiv e-prints, arXiv: 1506.02239, 2015 | | 2015 |
| Advances in Kernel Methods YLK Samo | | |
Stephen RobertsProfessor of Engineering Science (Machine Learning, Information Engineering), University of Oxford在 robots.ox.ac.uk 的电子邮件经过验证
Stephen RobertsProfessor of Engineering Science (Machine Learning, Information Engineering), University of Oxford在 robots.ox.ac.uk 的电子邮件经过验证