<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Probabilistic-Calibration on mlbot.blog</title><link>https://mlbot.blog/tags/probabilistic-calibration/</link><description>Recent content in Probabilistic-Calibration on mlbot.blog</description><generator>Hugo</generator><language>en-US</language><lastBuildDate>Mon, 03 Aug 2026 10:38:51 +0530</lastBuildDate><atom:link href="https://mlbot.blog/tags/probabilistic-calibration/index.xml" rel="self" type="application/rss+xml"/><item><title>We Gaussianized the Reference: Repairing Evaluation for Multimodal Filters</title><link>https://mlbot.blog/posts/repairing-multimodal-filter-evaluation/</link><pubDate>Mon, 03 Aug 2026 09:37:14 +0530</pubDate><guid>https://mlbot.blog/posts/repairing-multimodal-filter-evaluation/</guid><description>&lt;p&gt;The previous nonlinear-filtering experiments had an awkward asymmetry. The
reference filter was a complete probability distribution on a scalar grid, but
several headline diagnostics reduced that distribution to a mean and variance
before scoring it. We had built a multimodal reference and then asked it to
behave like a Gaussian.&lt;/p&gt;</description></item></channel></rss>