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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
2632017
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
2072019
Decentralized cooperative stochastic bandits
D Martínez-Rubio, V Kanade, P Rebeschini
Advances in Neural Information Processing Systems 32, 2019
1222019
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
252019
Global Riemannian acceleration in hyperbolic and spherical spaces
D Martínez-Rubio
International Conference on Algorithmic Learning Theory, 768-826, 2022
22*2022
Convergence analysis of an adaptive method of gradient descent
DM Rubio
University of Oxford, Oxford, M. Sc. thesis, 2017
132017
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
10*2017
Accelerated riemannian optimization: Handling constraints with a prox to bound geometric penalties
D Martínez-Rubio, S Pokutta
The Thirty Sixth Annual Conference on Learning Theory, 359-393, 2023
52023
Fast algorithms for packing proportional fairness and its dual
F Criado, D Martínez-Rubio, S Pokutta
Advances in Neural Information Processing Systems 35, 25754-25766, 2022
42022
Open problem: polynomial linearly-convergent method for g-convex optimization?
C Criscitiello, D Martínez-Rubio, N Boumal
The Thirty Sixth Annual Conference on Learning Theory, 5950-5956, 2023
3*2023
Accelerated and sparse algorithms for approximate personalized pagerank and beyond
D Martínez-Rubio, E Wirth, S Pokutta
The Thirty Sixth Annual Conference on Learning Theory, 2852-2876, 2023
32023
Accelerated Methods for Riemannian Min-Max Optimization Ensuring Bounded Geometric Penalties
D Martínez-Rubio, C Roux, C Criscitiello, S Pokutta
arXiv preprint arXiv:2305.16186, 2023
22023
Acceleration in first-order optimization methods: promenading beyond convexity or smoothness, and applications
D Martinez Rubio
University of Oxford, 2021
22021
Convergence and Trade-Offs in Riemannian Gradient Descent and Riemannian Proximal Point
D Martínez-Rubio, C Roux, S Pokutta
arXiv preprint arXiv:2403.10429, 2024
2024
Accelerated Riemannian Min-Max Optimization Ensuring Bounded Geometric Penalties
D Martínez-Rubio, C Roux, C Criscitiello, S Pokutta
Proceedings of Optimization for Machine Learning (NeurIPS Workshop OPT 2023), 2023
2023
Characterization and computation of the Galois group of polynomials of degree 7
DM Rubio
Universidad Complutense de Madrid, 2016
2016
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Articles 1–16