Linear Speedup in Personalized Collaborative Learning. - El Mahdi Chayti; Sai Praneeth Karimireddy; Sebastian U. Stich; Nicolas Flammarion; Martin Jaggi (CoRR, 2021)

Second-Order Optimization with Lazy Hessians. - Nikita Doikov; El Mahdi Chayti; Martin Jaggi (ICML, 2023)

A New First-Order Meta-Learning Algorithm with Convergence Guarantees. - El Mahdi Chayti; Martin Jaggi (CoRR, 2024)

Unified Convergence Theory of Stochastic and Variance-Reduced Cubic Newton Methods. - El Mahdi Chayti; Martin Jaggi; Nikita Doikov (Trans. Mach. Learn. Res., 2024)

Optimization with Access to Auxiliary Information. - El Mahdi Chayti; Sai Praneeth Karimireddy (Trans. Mach. Learn. Res., 2024)

Improving Stochastic Cubic Newton with Momentum. - El Mahdi Chayti; Nikita Doikov; Martin Jaggi (AISTATS, 2025)