David Martínez-Rubio

I am mainly interested in optimization and online learning with a focus on high dimensional problems. I have worked on non-linear convex and non-convex problems, Riemannian geodesically convex optimization, accelerated algorithms, PageRank, packing, and bandit problems.

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Conference proceedings

1. 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}
   }

2. 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}
   }

3. 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}
   }

4. 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}
   }