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David Martínez-Rubio
David Martínez-Rubio
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Title
Cited by
Cited by
Year
Online learning rate adaptation with hypergradient descent
AG Baydin, R Cornish, DM Rubio, M Schmidt, F Wood
arXiv preprint arXiv:1703.04782, 2017
1572017
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
1172019
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
152019
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
82017
Fast Algorithms for Packing Proportional Fairness and its Dual
F Criado, D Martínez-Rubio, S Pokutta
arXiv preprint arXiv:2109.03678, 2021
12021
Acceleration in first-order optimization methods: promenading beyond convexity or smoothness, and applications
D Martinez Rubio
University of Oxford, 2021
2021
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Articles 1–9