El Mahdi Chayti

15 papers A* 1A 1Journal 13
YearRankTypeTitle / Venue / Authors
2026 J jnl
RanSOM: Second-Order Momentum with Randomized Scaling for Constrained and Unconstrained Optimization.
CoRR
El Mahdi Chayti
2025 J jnl
A Split-Client Approach to Second-Order Optimization.
CoRR
El Mahdi Chayti, Martin Jaggi
2025 A conf
Improving Stochastic Cubic Newton with Momentum.
AISTATS
El Mahdi Chayti, Nikita Doikov, Martin Jaggi
2025 J jnl
Stochastic Difference-of-Convex Optimization with Momentum.
CoRR
El Mahdi Chayti, Martin Jaggi
2025 J jnl
Stochastic Optimization with Random Search.
CoRR
El Mahdi Chayti, Taha el Bakkali el Kadi, Omar Saadi, Martin Jaggi
2025 J jnl
α-LoRA: Effective Fine-Tuning via Base Model Rescaling.
CoRR
Aymane El Firdoussi, El Mahdi Chayti, Mohamed El Amine Seddik, Martin Jaggi
2024 J jnl
A New First-Order Meta-Learning Algorithm with Convergence Guarantees.
CoRR
El Mahdi Chayti, Martin Jaggi
2024 J jnl
Improving Stochastic Cubic Newton with Momentum.
CoRR
El Mahdi Chayti, Nikita Doikov, Martin Jaggi
2024 J jnl
Optimization with Access to Auxiliary Information.
Trans. Mach. Learn. Res.
El Mahdi Chayti, Sai Praneeth Karimireddy
2024 J jnl
Unified Convergence Theory of Stochastic and Variance-Reduced Cubic Newton Methods.
Trans. Mach. Learn. Res.
El Mahdi Chayti, Martin Jaggi, Nikita Doikov
2023 A* conf
Second-Order Optimization with Lazy Hessians.
ICML
Nikita Doikov, El Mahdi Chayti, Martin Jaggi
2023 J jnl
Unified Convergence Theory of Stochastic and Variance-Reduced Cubic Newton Methods.
CoRR
El Mahdi Chayti, Nikita Doikov, Martin Jaggi
2022 J jnl
Optimization with access to auxiliary information.
CoRR
El Mahdi Chayti, Sai Praneeth Karimireddy
2022 J jnl
Second-order optimization with lazy Hessians.
CoRR
Nikita Doikov, El Mahdi Chayti, Martin Jaggi
2021 J jnl
Linear Speedup in Personalized Collaborative Learning.
CoRR
El Mahdi Chayti, Sai Praneeth Karimireddy, Sebastian U. Stich, Nicolas Flammarion, Martin Jaggi