| Online learning rate adaptation with hypergradient descent AG Baydin, R Cornish, DM Rubio, M Schmidt, F Wood arXiv preprint arXiv:1703.04782, 2017 | 157 | 2017 |
| Cheap orthogonal constraints in neural networks: A simple parametrization of the orthogonal and unitary group M Lezcano-Casado, D Martınez-Rubio International Conference on Machine Learning, 3794-3803, 2019 | 117 | 2019 |
| Decentralized cooperative stochastic bandits D Martínez-Rubio, V Kanade, P Rebeschini Advances in Neural Information Processing Systems 32, 2019 | 67* | 2019 |
| Neural networks are a priori biased towards boolean functions with low entropy C Mingard, J Skalse, G Valle-Pérez, D Martínez-Rubio, V Mikulik, ... arXiv preprint arXiv:1909.11522, 2019 | 15 | 2019 |
| Improvements to inference compilation for probabilistic programming in large-scale scientific simulators ML Casado, AG Baydin, DM Rubio, TA Le, F Wood, L Heinrich, G Louppe, ... arXiv preprint arXiv:1712.07901, 2017 | 9* | 2017 |
| Global riemannian acceleration in hyperbolic and spherical spaces D Martínez-Rubio International Conference on Algorithmic Learning Theory, 768-826, 2022 | 8* | 2022 |
| Convergence analysis of an adaptive method of gradient descent DM Rubio University of Oxford, Oxford, M. Sc. thesis, 2017 | 8 | 2017 |
| Fast Algorithms for Packing Proportional Fairness and its Dual F Criado, D Martínez-Rubio, S Pokutta arXiv preprint arXiv:2109.03678, 2021 | 1 | 2021 |
| Acceleration in first-order optimization methods: promenading beyond convexity or smoothness, and applications D Martinez Rubio University of Oxford, 2021 | | 2021 |
