<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Machine-Learning on Harvard Systems Group</title><link>https://systems.seas.harvard.edu/tags/machine-learning/</link><description>Recent content in Machine-Learning on Harvard Systems Group</description><generator>Hugo</generator><language>en</language><copyright>Copyright © 2026 The President and Fellows of Harvard College</copyright><lastBuildDate>Fri, 14 Aug 2026 00:00:00 -0500</lastBuildDate><atom:link href="https://systems.seas.harvard.edu/tags/machine-learning/index.xml" rel="self" type="application/rss+xml"/><item><title>Learning-Augmented Heuristics: A Different Way to Build Smart Caches</title><link>https://systems.seas.harvard.edu/blog/learning-augmented-heuristics/</link><pubDate>Fri, 14 Aug 2026 00:00:00 -0500</pubDate><guid>https://systems.seas.harvard.edu/blog/learning-augmented-heuristics/</guid><description>Smart cache eviction algorithms can adapt to workloads, but they often pay for it with complexity, instability, or overhead. Learning-Augmented Heuristics takes a different approach: keep the fast heuristic on the data path, and use learning to configure it at a slower timescale.</description></item></channel></rss>