<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Expectation-Propagation on mlbot.blog</title><link>https://mlbot.blog/tags/expectation-propagation/</link><description>Recent content in Expectation-Propagation on mlbot.blog</description><generator>Hugo</generator><language>en-US</language><lastBuildDate>Thu, 30 Apr 2026 13:45:04 +0530</lastBuildDate><atom:link href="https://mlbot.blog/tags/expectation-propagation/index.xml" rel="self" type="application/rss+xml"/><item><title>Reference-Free Quadrature Filters For The Sine Benchmark</title><link>https://mlbot.blog/posts/quadrature-power-ep-filtering/</link><pubDate>Thu, 30 Apr 2026 13:18:00 +0530</pubDate><guid>https://mlbot.blog/posts/quadrature-power-ep-filtering/</guid><description>&lt;p&gt;The last part of the week stepped away from amortized training and asked a sharper question:&lt;/p&gt;
&lt;blockquote&gt;
&lt;p&gt;How far can a deterministic, reference-free filtering update go if it directly integrates the known nonlinear likelihood and projects the result back to a strict family?&lt;/p&gt;</description></item></channel></rss>