A A
de
Deutsch
English
Menü
Startseite Martínez-Rubio, David

Martínez-Rubio, David

Kontakt

Room
3107
Phone
+49 30 84185-576
Email
Email
Bereich
Mathematical Algorithmic Intelligence
Abteilung
AI in Society, Science, and Technology
Arbeitsgruppe
Mathematical Optimization Methods

Publications

2023
Accelerated Riemannian Min-Max Optimization Ensuring Bounded Geometric Penalties Proceedings of Optimization for Machine Learning (NeurIPS Workshop OPT 2023), 2023 David Martínez-Rubio, Christophe Roux, Christopher Criscitiello, Sebastian Pokutta BibTeX
Accelerated Riemannian Optimization: Handling Constraints with a Prox to Bound Geometric Penalties Proceedings of Thirty Sixth Conference on Learning Theory, pp. 359-393, Vol.195, PMLR, 2023 David Martínez-Rubio, Sebastian Pokutta BibTeX
Accelerated and Sparse Algorithms for Approximate Personalized PageRank and Beyond Proceedings of Machine Learning Research, pp. 1-35, Vol.195, 2023 David Martínez-Rubio, Elias Wirth, Sebastian Pokutta BibTeX
Open problem: polynomial linearly-convergent method for g-convex optimization? Proceedings of Thirty Sixth Conference on Learning Theory, PMLR, pp. 5950-5956, Vol.195, 2023 Christopher Criscitiello, David Martínez-Rubio, Nicolas Boumal BibTeX
2022
Accelerated Riemannian optimization: Handling constraints with a prox to bound geometric penalties Proceedings of Optimization for Machine Learning (NeurIPS Workshop OPT 2022), 2022 David Martínez-Rubio, Sebastian Pokutta BibTeX
Fast Algorithms for Packing Proportional Fairness and its Dual Proceedings of the Conference on Neural Information Processing Systems, Vol.36, 2022 Francisco Criado, David Martínez-Rubio, Sebastian Pokutta BibTeX