Christophe Roux

Preprints

1. Roux, C., Zimmer, M., d’Aspremont, A., and Pokutta, S. (2025). Don’t Be Greedy, Just Relax! Pruning LLMs Via Frank-Wolfe. [arXiv]
   [BibTeX]

   @misc{2025_RouxZimmerDaspremontPokutta_Pruningfrankwolfe_2510-13713,
     archiveprefix = {arXiv},
     eprint = {2510.13713},
     arxiv = {arXiv:2510.13713},
     primaryclass = {cs.LG},
     year = {2025},
     author = {Roux, Christophe and Zimmer, Max and d'Aspremont, Alexandre and Pokutta, Sebastian},
     title = {Don't Be Greedy, Just Relax! Pruning LLMs Via Frank-Wolfe},
     date = {2025-10-15}
   }

2. Wagner, M., Roux, C., Zimmer, M., and Pokutta, S. (2025). A Free Lunch in LLM Compression: Revisiting Retraining After Pruning. [arXiv]
   [BibTeX]

   @misc{2025_WagnerRouxZimmerPokutta_Llmpruningretraining_2510-14444,
     archiveprefix = {arXiv},
     eprint = {2510.14444},
     arxiv = {arXiv:2510.14444},
     primaryclass = {cs.LG},
     year = {2025},
     author = {Wagner, Moritz and Roux, Christophe and Zimmer, Max and Pokutta, Sebastian},
     title = {A Free Lunch in LLM Compression: Revisiting Retraining After Pruning},
     date = {2025-10-16}
   }

3. Zimmer, M., Roux, C., Wagner, M., Hendrych, D., and Pokutta, S. (2025). SparseSwaps: Tractable LLM Pruning Mask Refinement at Scale. [arXiv]
   [BibTeX]

   @misc{2025_ZimmerEtAl_Sparseswapspruning_2512-10922,
     archiveprefix = {arXiv},
     eprint = {2512.10922},
     arxiv = {arXiv:2512.10922},
     primaryclass = {cs.LG},
     year = {2025},
     author = {Zimmer, Max and Roux, Christophe and Wagner, Moritz and Hendrych, Deborah and Pokutta, Sebastian},
     title = {SparseSwaps: Tractable LLM Pruning Mask Refinement at Scale},
     date = {2025-12-11}
   }

4. Roux, C., Wirth, E., Pokutta, S., and Kerdreux, T. (2021). Efficient Online-Bandit Strategies for Minimax Learning Problems. [arXiv]
   [BibTeX]

   @misc{2021_RouxWirthPokuttaKerdreux_Onlinebanditminimax,
     archiveprefix = {arXiv},
     eprint = {2105.13939},
     arxiv = {arXiv:2105.13939},
     primaryclass = {cs.LG},
     year = {2021},
     author = {Roux, Christophe and Wirth, Elias and Pokutta, Sebastian and Kerdreux, Thomas},
     title = {Efficient Online-Bandit Strategies for Minimax Learning Problems},
     date = {2021-05-28}
   }

Conference proceedings

1. Roux, C., Martínez-Rubio, D., and Pokutta, S. (2025). Implicit Riemannian Optimism with Applications to Min-max Problems. Proceedings of the International Conference on Machine Learning, 267, 52139–52172. DOI: 10.48550/arXiv.2501.18381 [arXiv]
   [BibTeX]

   @inproceedings{2025_RouxMartinezrubioPokutta_ImplicitRiemannian,
     year = {2025},
     booktitle = {Proceedings of the International Conference on Machine Learning},
     month = may,
     volume = {267},
     pages = {52139--52172},
     doi = {10.48550/arXiv.2501.18381},
     archiveprefix = {arXiv},
     eprint = {2501.18381},
     arxiv = {arXiv:2501.18381},
     primaryclass = {math.OC},
     author = {Roux, Christophe and Martínez-Rubio, David and Pokutta, Sebastian},
     title = {Implicit Riemannian Optimism with Applications to Min-max Problems},
     date = {2025-01-30}
   }

2. Martínez-Rubio, D., Roux, C., Criscitiello, C., and Pokutta, S. (2025). Accelerated Riemannian Min-Max Optimization Ensuring Bounded Geometric Penalties. Proceedings of the International Conference on Artificial Intelligence and Statistics, 258, 280–288. [arXiv]
   [BibTeX]

   @inproceedings{2023_MartinezrubioRouxCriscitielloPokutta_Riemannianminmax,
     year = {2025},
     booktitle = {Proceedings of the International Conference on Artificial Intelligence and Statistics},
     month = jan,
     volume = {258},
     pages = {280--288},
     archiveprefix = {arXiv},
     eprint = {2305.16186},
     arxiv = {arXiv:2305.16186},
     primaryclass = {math.OC},
     author = {Martínez-Rubio, David and Roux, Christophe and Criscitiello, Christopher and Pokutta, Sebastian},
     title = {Accelerated Riemannian Min-Max Optimization Ensuring Bounded Geometric Penalties}
   }

3. Roux, C., Zimmer, M., and Pokutta, S. (2025, January). On the Byzantine-resilience of Distillation-based Federated Learning. Proceedings of the International Conference on Learning Representations. [arXiv]
   [BibTeX]

   @inproceedings{2024_RouxZimmerPokutta_Byzantineresilience,
     year = {2025},
     booktitle = {Proceedings of the International Conference on Learning Representations},
     month = jan,
     archiveprefix = {arXiv},
     eprint = {2402.12265},
     arxiv = {arXiv:2402.12265},
     primaryclass = {cs.LG},
     author = {Roux, Christophe and Zimmer, Max and Pokutta, Sebastian},
     title = {On the Byzantine-resilience of Distillation-based Federated Learning}
   }

4. Martínez-Rubio, D., Roux, C., and Pokutta, S. (2024, March 15). Convergence and Trade-offs in Riemannian Gradient Descent and Riemannian Proximal Point. Proceedings of the International Conference on Machine Learning. [URL] [arXiv]
   [BibTeX]

   @inproceedings{2024_MartinezrubioRouxPokutta_Riemanniangradientdescent,
     year = {2024},
     booktitle = {Proceedings of the International Conference on Machine Learning},
     url = {https://proceedings.mlr.press/v235/marti-nez-rubio24a.html},
     archiveprefix = {arXiv},
     eprint = {2403.10429},
     arxiv = {arXiv:2403.10429},
     primaryclass = {math.OC},
     author = {Martínez-Rubio, David and Roux, Christophe and Pokutta, Sebastian},
     title = {Convergence and Trade-offs in Riemannian Gradient Descent and Riemannian Proximal Point},
     date = {2024-03-15}
   }

5. Martínez-Rubio, D., Roux, C., Criscitiello, C., and Pokutta, S. (2023, May 25). Accelerated Riemannian Min-Max Optimization Ensuring Bounded Geometric Penalties. Proceedings of the NeurIPS 2023: Optimization for Machine Learning. [arXiv]
   [BibTeX]

   @inproceedings{2023_MartinezrubioRouxCriscitielloPokutta_Riemannianminmax:1,
     year = {2023},
     booktitle = {Proceedings of the NeurIPS 2023: Optimization for Machine Learning},
     month = may,
     archiveprefix = {arXiv},
     eprint = {2305.16186},
     arxiv = {arXiv:2305.16186},
     primaryclass = {math.OC},
     author = {Martínez-Rubio, David and Roux, Christophe and Criscitiello, Christopher and Pokutta, Sebastian},
     title = {Accelerated Riemannian Min-Max Optimization Ensuring Bounded Geometric Penalties},
     date = {2023-05-25}
   }

Full articles

1. Kerdreux, T., Roux, C., d’Aspremont, A., and Pokutta, S. (2021). Linear Bandits on Uniformly Convex Sets. Journal of Machine Learning Research, 22(284), 1–23. [URL] [arXiv] [summary]
   [BibTeX]

   @article{2021_KerdreuxRouxDaspremontPokutta_Linearbandits,
     year = {2021},
     journal = {Journal of Machine Learning Research},
     month = mar,
     volume = {22},
     number = {284},
     pages = {1--23},
     url = {http://jmlr.org/papers/v22/21-0277.html},
     archiveprefix = {arXiv},
     eprint = {2103.05907},
     arxiv = {arXiv:2103.05907},
     primaryclass = {cs.LG},
     author = {Kerdreux, Thomas and Roux, Christophe and d'Aspremont, Alexandre and Pokutta, Sebastian},
     title = {Linear Bandits on Uniformly Convex Sets},
     summary = {https://www.pokutta.com/blog/research/2021/04/03/linearBandits.html},
     date = {2021-03-10}
   }