EPISODE · Jan 28, 2025 · 9 MIN
[QA] Feasible Learning
from Arxiv Papers · host Igor Melnyk
Feasible Learning (FL) optimizes model performance on individual samples, using a primal-dual approach to enhance training dynamics, showing improved tail behavior over Empirical Risk Minimization with minimal average performance impact. https://arxiv.org/abs//2501.14912 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
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[QA] Feasible Learning
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