<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>theory | Michael Aerni</title><link>https://www.michaelaerni.com/tag/theory/</link><atom:link href="https://www.michaelaerni.com/tag/theory/index.xml" rel="self" type="application/rss+xml"/><description>theory</description><generator>Wowchemy (https://wowchemy.com)</generator><language>en-us</language><lastBuildDate>Sat, 24 Jul 2021 16:00:00 +0000</lastBuildDate><image><url>https://www.michaelaerni.com/media/icon_hua9c6b47fafe860101b75091fc8397190_346273_512x512_fill_lanczos_center_3.png</url><title>theory</title><link>https://www.michaelaerni.com/tag/theory/</link></image><item><title>Surprising benefits of ridge regularization for noiseless regression</title><link>https://www.michaelaerni.com/publication/surprising-benefits-of-ridge-regularization-for-noiseless-regression/</link><pubDate>Sat, 24 Jul 2021 16:00:00 +0000</pubDate><guid>https://www.michaelaerni.com/publication/surprising-benefits-of-ridge-regularization-for-noiseless-regression/</guid><description/></item><item><title>Maximizing the robust margin provably overfits on noiseless data</title><link>https://www.michaelaerni.com/publication/maximizing-the-robust-margin-provably-overfits-on-noiseless-data/</link><pubDate>Sat, 24 Jul 2021 11:45:00 +0000</pubDate><guid>https://www.michaelaerni.com/publication/maximizing-the-robust-margin-provably-overfits-on-noiseless-data/</guid><description/></item></channel></rss>