Fares El Khoury
@fareselkhoury.bsky.social
PhD student in Machine Learning at Inria
Happy to be at #NeurIPS in San Diego to present our poster ‘Learning Theory for Kernel Bilevel Optimization’ #3005, Fri at 4:30 p.m. Stop by/ping me to chat, especially about statistics, causality, generative models! Let's connect!
Joint w/ E. Pauwels, @samuelvaiter.com, @michael-arbel.bsky.social
Joint w/ E. Pauwels, @samuelvaiter.com, @michael-arbel.bsky.social
December 1, 2025 at 8:19 PM
Happy to be at #NeurIPS in San Diego to present our poster ‘Learning Theory for Kernel Bilevel Optimization’ #3005, Fri at 4:30 p.m. Stop by/ping me to chat, especially about statistics, causality, generative models! Let's connect!
Joint w/ E. Pauwels, @samuelvaiter.com, @michael-arbel.bsky.social
Joint w/ E. Pauwels, @samuelvaiter.com, @michael-arbel.bsky.social
Reposted by Fares El Khoury
The PAISS summer school is back with an incredible line of speakers (and more to come). Spread the word !
May 5, 2025 at 4:34 PM
The PAISS summer school is back with an incredible line of speakers (and more to come). Spread the word !
Happy to share our work on learning theory for kernel bilevel optimization! Grateful to Edouard, @samuelvaiter.com, and @michael-arbel.bsky.social for their mentorship and insightful discussions that shaped this paper!
📣 New preprint 📣
Learning Theory for Kernel Bilevel Optimization
w/ @fareselkhoury.bsky.social E. Pauwels @michael-arbel.bsky.social
We provide generalization error bounds for bilevel optimization problems where the inner objective is minimized over a RKHS.
arxiv.org/abs/2502.08457
Learning Theory for Kernel Bilevel Optimization
w/ @fareselkhoury.bsky.social E. Pauwels @michael-arbel.bsky.social
We provide generalization error bounds for bilevel optimization problems where the inner objective is minimized over a RKHS.
arxiv.org/abs/2502.08457
February 20, 2025 at 9:30 PM
Happy to share our work on learning theory for kernel bilevel optimization! Grateful to Edouard, @samuelvaiter.com, and @michael-arbel.bsky.social for their mentorship and insightful discussions that shaped this paper!