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I am a doctoral researcher at Zuse Institute Berlin (ZIB) in the Interactive Optimization and Learning (IOL) research group and a PhD candidate at the Institute of Mathematics, TU Berlin. I am also a member of the Berlin Mathematical School (BMS).

My research interests lie at the intersection of optimization and machine learning. In particular, I am interested in online optimization, federated learning and optimization on riemannian manifolds.

E-mail: roux@zib.de

Publications

  1. Roux, C., Wirth, E., Pokutta, S., and Kerdreux, T. (2021). Efficient Online-Bandit Strategies for Minimax Learning Problems. Preprint. [arXiv]​
  2. Kerdreux, T., Roux, C., d’Aspremont, A., and Pokutta, S. (2021). Linear Bandits on Uniformly Convex Sets. Journal of Machine Learning Research (JMLR). [JMLR] [arXiv]​ [summary]​