<?xml version="1.0" encoding="UTF-8"?><rss version="2.0"><channel><title>subhransu.fyi</title><description>Short tutorials, explanations, and animations on robot motion planning, model predictive control, learning-based robot motion, and the math behind them.</description><link>https://subhransu.fyi/</link><item><title>Importance sampling</title><link>https://subhransu.fyi/notes/importance-sampling/</link><guid isPermaLink="true">https://subhransu.fyi/notes/importance-sampling/</guid><description>You want an expectation under p, but you can only draw samples from q. Reweight each sample and the estimate stays unbiased. The catch is in the variance.</description><pubDate>Tue, 01 Sep 2026 00:00:00 GMT</pubDate></item></channel></rss>