The paper introduces Functional Risk Minimization (FRM), a framework improving performance in various learning tasks by comparing functions instead of outputs, enhancing understanding of generalization in over-parameterized models.

https://arxiv.org/abs//2412.21149

YouTube: https://www.youtube.com/@ArxivPapers

TikTok: https://www.tiktok.com/@arxiv_papers

Apple Podcasts: https://podcasts.apple.com/us/podcast/arxiv-papers/id1692476016

Spotify: https://podcasters.spotify.com/pod/show/arxiv-papers