
David Martínez-Rubio
postdoctoral researcher at ZIB since January 2022office | Room 3107 at
ZIB Room MA 604 at TUB |
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martinez-rubio (at) zib.de | |
homepage | damaru2.github.io |
languages | English, Spanish, and Toki Pona |
🎓 Academic Background
Jan 2022 | Ph.D. in Mathematics at University of Oxford |
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Aug 2017 | M.Sc. in Mathematics and Foundations of Computer Science at University of Oxford |
Jul 2016 | B.Sc. in Computer Science and Engineering at UCM |
Jul 2016 | B.Sc. in Mathematics at UCM |
🔬 Research
Conference proceedings
- Martínez-Rubio, D., and Pokutta, S. (2023). Accelerated Riemannian Optimization: Handling Constraints with a Prox to Bound Geometric Penalties. Proceedings of Annual Workshop on Computational Learning Theory.
[arXiv]
[BibTeX]
@inproceedings{mp_acceleratedriemannian_22:1:, year = {2023}, booktitle = {Proceedings of Annual Workshop on Computational Learning Theory}, archiveprefix = {arXiv}, eprint = {2211.14645}, primaryclass = {math.OC}, author = {Martínez-Rubio, David and Pokutta, Sebastian}, title = {Accelerated Riemannian Optimization: Handling Constraints with a Prox to Bound Geometric Penalties} }
- Martínez-Rubio, D., Wirth, E., and Pokutta, S. (2023). Accelerated and Sparse Algorithms for Approximate Personalized PageRank and Beyond. Proceedings of Annual Workshop on Computational Learning Theory.
[arXiv]
[BibTeX]
@inproceedings{mwp_accelrated_sparse_pagerank_23, year = {2023}, booktitle = {Proceedings of Annual Workshop on Computational Learning Theory}, archiveprefix = {arXiv}, eprint = {2303.12875}, primaryclass = {math.OC}, author = {Martínez-Rubio, David and Wirth, Elias and Pokutta, Sebastian}, title = {Accelerated and Sparse Algorithms for Approximate Personalized PageRank and Beyond} }
- Criado, F., Martínez-Rubio, D., and Pokutta, S. (2022). Fast Algorithms for Packing Proportional Fairness and Its Dual. Proceedings of Conference on Neural Information Processing Systems.
[arXiv]
[poster]
[BibTeX]
@inproceedings{cmp_packing_proportional_fairness_22, year = {2022}, booktitle = {Proceedings of Conference on Neural Information Processing Systems}, archiveprefix = {arXiv}, eprint = {2109.03678}, primaryclass = {math.OC}, author = {Criado, Francisco and Martínez-Rubio, David and Pokutta, Sebastian}, title = {Fast Algorithms for Packing Proportional Fairness and Its Dual}, poster = {https://pokutta.com/slides/20211105_fairpacking-poster.pdf} }
- Martínez-Rubio, D., and Pokutta, S. (2022). Accelerated Riemannian Optimization: Handling Constraints with a Prox to Bound Geometric Penalties. Proceedings of Optimization for Machine Learning (NeurIPS Workshop OPT 2022).
[URL]
[arXiv]
[poster]
[BibTeX]
@inproceedings{mp_acceleratedriemannian_22, booktitle = {Proceedings of Optimization for Machine Learning (NeurIPS Workshop OPT 2022)}, url = {https://opt-ml.org/papers/2022/paper27.pdf}, archiveprefix = {arXiv}, eprint = {2211.14645}, primaryclass = {math.OC}, year = {2022}, author = {Martínez-Rubio, David and Pokutta, Sebastian}, title = {Accelerated Riemannian Optimization: Handling Constraints with a Prox to Bound Geometric Penalties}, poster = {https://pokutta.com/slides/20221203_poster_neurips_riemannian.pdf} }