<?xml version="1.0" encoding="UTF-8"?><rss version="2.0"><channel><title>Priyadip Sau — Notes</title><description>Notes on machine learning, mechanistic interpretability, and mathematics.</description><link>https://blog.priyadipsau.in/</link><item><title>When Bigger Models Generalize Better: The Double Descent Phenomenon</title><link>https://blog.priyadipsau.in/double-descent/</link><guid isPermaLink="true">https://blog.priyadipsau.in/double-descent/</guid><description>Classical bias-variance theory says oversized models memorize and fail to generalize. A closed-form linear regression result shows exactly why deep learning breaks that rule.</description><pubDate>Thu, 25 Jun 2026 00:00:00 GMT</pubDate></item></channel></rss>