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Startseite Martínez-Rubio, David

Martínez-Rubio, David

Kontakt

Room
3107
Phone
+49 30 84185-576
Email
E-Mail

Publications

2024
Convergence and Trade-Offs in Riemannian Gradient Descent and Riemannian Proximal Point Proceedings of the 41st International Conference on Machine Learning, pp. 34920-34948, Vol.235, PMLR, 2024 David Martínez-Rubio, Christophe Roux, Sebastian Pokutta BibTeX
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