Christophe Roux

Preprints and reports

1. 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},
     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}
   }

2. 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},
     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}
   }

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},
     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. Elhishi, A., Roux, C., and d’Aspremont, A. (2026). Restart and Adaptive Acceleration in Stochastic Gradient Methods. [arXiv]
   [BibTeX]

   @misc{2026_ElhishiRouxD'aspremont_Restartacceleration_2606-21354,
     archiveprefix = {arXiv},
     eprint = {2606.21354},
     arxiv = {arXiv:2606.21354},
     primaryclass = {math.OC},
     author = {Elhishi, Ali and Roux, Christophe and d'Aspremont, Alexandre},
     title = {Restart and Adaptive Acceleration in Stochastic Gradient Methods},
     date = {2026-06-19}
   }

5. Schiekiera, L., Zimmer, M., Roux, C., Arnold, M., Pokutta, S., and Günther, F. (2026). LinearPFN: Amortized Variable Selection for Linear Models with Interactions. [arXiv]
   [BibTeX]

   @misc{2026_SchiekieraEtAl_LinearPFNVariableSelection_2610-06580,
     archiveprefix = {arXiv},
     eprint = {2610.06580},
     arxiv = {arXiv:2610.06580},
     primaryclass = {cs.LG},
     author = {Schiekiera, Louis and Zimmer, Max and Roux, Christophe and Arnold, Manuel and Pokutta, Sebastian and Günther, Fritz},
     title = {LinearPFN: Amortized Variable Selection for Linear Models with Interactions},
     date = {2026-10-05}
   }

6. Wagner, M., Roux, C., Zimmer, M., and Pokutta, S. (2026). The KV-Surgeon: Compensation-Aware Offline KV-Cache Compaction. [arXiv]
   [BibTeX]

   @misc{2026_WagnerRouxZimmerPokutta_KVCacheCompaction_2610-25933,
     archiveprefix = {arXiv},
     eprint = {2610.25933},
     arxiv = {arXiv:2610.25933},
     primaryclass = {cs.LG},
     author = {Wagner, Moritz and Roux, Christophe and Zimmer, Max and Pokutta, Sebastian},
     title = {The KV-Surgeon: Compensation-Aware Offline KV-Cache Compaction},
     date = {2026-10-19}
   }

7. Zimmer, M., Pelleriti, N., Roux, C., and Pokutta, S. (2026). The Agentic Researcher: A Practical Guide to AI-Assisted Research in Mathematics and Machine Learning. [arXiv]
   [BibTeX]

   @misc{2026_ZimmerPelleritiRouxPokutta_Airesearchframework_2603-15914,
     archiveprefix = {arXiv},
     eprint = {2603.15914},
     arxiv = {arXiv:2603.15914},
     primaryclass = {cs.LG},
     author = {Zimmer, Max and Pelleriti, Nico and Roux, Christophe and Pokutta, Sebastian},
     title = {The Agentic Researcher: A Practical Guide to AI-Assisted Research in Mathematics and Machine Learning},
     date = {2026-03-16}
   }

Conference contributions

1. Wagner, M., Roux, C., Zimmer, M., and Pokutta, S. A Free Lunch in LLM Compression: Revisiting Retraining after Pruning. Advances in Neural Information Processing Systems, 39. To appear. Associated with NeurIPS 2026. [arXiv]
   [BibTeX]

   @inproceedings{2025_WagnerRouxZimmerPokutta_Llmpruningretraining_2510-14444,
     booktitle = {Advances in Neural Information Processing Systems},
     series = {Advances in Neural Information Processing Systems},
     volume = {39},
     publisher = {Curran Associates},
     note = {To appear},
     archiveprefix = {arXiv},
     eprint = {2510.14444},
     arxiv = {arXiv:2510.14444},
     primaryclass = {cs.LG},
     author = {Wagner, Moritz and Roux, Christophe and Zimmer, Max and Pokutta, Sebastian},
     title = {A Free Lunch in LLM Compression: Revisiting Retraining after Pruning}
   }

2. Halbey, J., Roux, C., and Pokutta, S. Curvature-Dependent Lower Bounds for Frank-Wolfe. Advances in Neural Information Processing Systems, 39. To appear. Associated with NeurIPS 2026. [arXiv]
   [BibTeX]

   @inproceedings{2026_HalbeyRouxPokutta_Curvaturelowerbounds_2605-10595,
     booktitle = {Advances in Neural Information Processing Systems},
     series = {Advances in Neural Information Processing Systems},
     volume = {39},
     publisher = {Curran Associates},
     note = {To appear},
     archiveprefix = {arXiv},
     eprint = {2605.10595},
     arxiv = {arXiv:2605.10595},
     primaryclass = {math.OC},
     author = {Halbey, Jannis and Roux, Christophe and Pokutta, Sebastian},
     title = {Curvature-Dependent Lower Bounds for Frank-Wolfe}
   }

3. Halbey, J., Deza, D., Zimmer, M., Roux, C., Stellato, B., and Pokutta, S. (2026). Lower Bounds for Frank-Wolfe on Strongly Convex Sets. Proceedings of the 43rd International Conference on Machine Learning, 306. Associated with ICML 2026. [arXiv]
   [BibTeX]

   @inproceedings{2026_HalbeyEtAl_Lowerboundsfrankwolfe_2602-04378,
     year = {2026},
     booktitle = {Proceedings of the 43rd International Conference on Machine Learning},
     series = {Proceedings of Machine Learning Research},
     volume = {306},
     month = jul,
     archiveprefix = {arXiv},
     eprint = {2602.04378},
     arxiv = {arXiv:2602.04378},
     primaryclass = {math.OC},
     author = {Halbey, Jannis and Deza, Daniel and Zimmer, Max and Roux, Christophe and Stellato, Bartolomeo and Pokutta, Sebastian},
     title = {Lower Bounds for Frank-Wolfe on Strongly Convex Sets}
   }

4. Schiekiera, L., Zimmer, M., Roux, C., Pokutta, S., and Günther, F. (2026). From Associations to Activations: Comparing Behavioral and Hidden-State Semantic Geometry in LLMs. Proceedings of the 43rd International Conference on Machine Learning, 306. Associated with ICML 2026. [arXiv]
   [BibTeX]

   @inproceedings{2026_LouisEtAl_Behavioralgeometry_2602-00628,
     year = {2026},
     booktitle = {Proceedings of the 43rd International Conference on Machine Learning},
     series = {Proceedings of Machine Learning Research},
     volume = {306},
     month = jul,
     archiveprefix = {arXiv},
     eprint = {2602.00628},
     arxiv = {arXiv:2602.00628},
     primaryclass = {cs.LG},
     author = {Schiekiera, Louis and Zimmer, Max and Roux, Christophe and Pokutta, Sebastian and Günther, Fritz},
     title = {From Associations to Activations: Comparing Behavioral and Hidden-State Semantic Geometry in LLMs}
   }

5. Roux, C., Martínez-Rubio, D., and Pokutta, S. (2025). Implicit Riemannian Optimism with Applications to Min-Max Problems. Proceedings of the 42nd International Conference on Machine Learning, 267, 52139–52172. Associated with ICML 2025. [arXiv]
   [BibTeX]

   @inproceedings{2025_RouxMartinezrubioPokutta_ImplicitRiemannian,
     year = {2025},
     booktitle = {Proceedings of the 42nd International Conference on Machine Learning},
     series = {Proceedings of Machine Learning Research},
     volume = {267},
     month = may,
     pages = {52139--52172},
     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}
   }

6. Martínez-Rubio, D., Roux, C., Criscitiello, C., and Pokutta, S. (2025). Accelerated Methods for Riemannian Min-Max Optimization Ensuring Bounded Geometric Penalties. Proceedings of The 28th International Conference on Artificial Intelligence and Statistics, 258, 280–288. Associated with AISTATS 2025. [arXiv]
   [BibTeX]

   @inproceedings{2023_MartinezrubioRouxCriscitielloPokutta_Riemannianminmax,
     year = {2025},
     booktitle = {Proceedings of The 28th International Conference on Artificial Intelligence and Statistics},
     series = {Proceedings of Machine Learning Research},
     volume = {258},
     month = jan,
     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 Methods for Riemannian Min-Max Optimization Ensuring Bounded Geometric Penalties}
   }

7. Roux, C., Zimmer, M., and Pokutta, S. (2025, January). On the Byzantine-Resilience of Distillation-Based Federated Learning. International Conference on Learning Representations 2025. Associated with ICLR 2025. [arXiv]
   [BibTeX]

   @inproceedings{2024_RouxZimmerPokutta_Byzantineresilience,
     year = {2025},
     booktitle = {International Conference on Learning Representations 2025},
     publisher = {ICLR (OpenReview)},
     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}
   }

8. Martínez-Rubio, D., Roux, C., and Pokutta, S. (2024). Convergence and Trade-Offs in Riemannian Gradient Descent and Riemannian Proximal Point. Proceedings of the 41st International Conference on Machine Learning, 235. Associated with ICML 2024. [URL] [arXiv]
   [BibTeX]

   @inproceedings{2024_MartinezrubioRouxPokutta_Riemanniangradientdescent,
     year = {2024},
     booktitle = {Proceedings of the 41st International Conference on Machine Learning},
     series = {Proceedings of Machine Learning Research},
     volume = {235},
     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}
   }

9. Martínez-Rubio, D., Roux, C., Criscitiello, C., and Pokutta, S. (2023). Accelerated Methods for Riemannian Min-Max Optimization Ensuring Bounded Geometric Penalties. Accepted at Optimization for Machine Learning. [arXiv]
   [BibTeX]

   @misc{2023_MartinezrubioRouxCriscitielloPokutta_Riemannianminmax:1,
     howpublished = {Accepted at Optimization for Machine Learning},
     year = {2023},
     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 Methods for Riemannian Min-Max Optimization Ensuring Bounded Geometric Penalties}
   }

Articles, chapters and books

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 = {https://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}
   }