activities | Christophe Roux

01/2026 — High-Dimensional Optimization and Learning

TU Berlin, Institute of Mathematics — Thursdays, 14:00–16:00, MAR 4.064

2026-07 — Curvature and Complexity of Frank-Wolfe Methods

8th DOxML Conference — Tokyo, Japan
03/2026 — Lower Bounds for Frank-Wolfe on Strongly Convex Sets

SIERRA Seminar at INRIA Paris — Paris, France
11/2025 — Was Mathematik mit künstlicher Intelligenz zu tun hat

MATHINSIDE — Berlin, Germany
06/2025 — Bounding geometric penalties in Riemannian optimization

IOL Seminar, Zuse Institute Berlin — Berlin, Germany
06/2025 — Implicit Riemannian Optimism with Applications to Min-Max Problems

ICCOPT 2025 — Los Angeles, USA
05/2025 — Implicit Riemannian Optimism with Applications to Min-Max Problems

Foundations and Frontiers: Interdisciplinary Perspectives on Mathematical Optimization — Tokyo, Japan
04/2024 — Bounding geometric penalties in Riemannian optimization

CISPA Research Seminar, Helmholtz Center for Information Security — Saarbrücken, Germany
11/2023 — Bounding geometric penalties in first-order Riemannian optimization

Modern Methods in Applied Stochastics and Nonparametric Statistics, WIAS Berlin — Berlin, Germany
03/2023 — Riemannian optimization: how and why?

Workshop on Optimization and Machine Learning — Waischenfeld, Germany

07/2025 — Implicit Riemannian Optimism with Applications to Min-Max Problems

ICML 2025 — Vancouver, Canada
05/2025 — Accelerated Riemannian Min-Max Optimization Ensuring Bounded Geometric Penalties

AISTATS 2025 — Phuket, Thailand
04/2025 — On the Byzantine-Resilience of Distillation-Based Federated Learning

ICLR 2025 — Singapore
07/2024 — Convergence and Trade-Offs in Riemannian Gradient Descent and Riemannian Proximal Point

ICML 2024 — Vienna, Austria
03/2023 — Accelerated Riemannian Min-Max Optimization Ensuring Bounded Geometric Penalties

Workshop on Optimization and Machine Learning — Waischenfeld, Germany