<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Gaussian Processes on Kalvik Jakkala</title><link>https://www.itskalvik.com/tags/gaussian-processes/</link><description>Recent content in Gaussian Processes on Kalvik Jakkala</description><generator>Hugo</generator><language>en</language><lastBuildDate>Mon, 08 Jan 2024 00:00:00 +0000</lastBuildDate><atom:link href="https://www.itskalvik.com/tags/gaussian-processes/index.xml" rel="self" type="application/rss+xml"/><item><title>Tutorial on streaming sparse Gaussian processes</title><link>https://www.itskalvik.com/blog/ssgp/</link><pubDate>Mon, 08 Jan 2024 00:00:00 +0000</pubDate><guid>https://www.itskalvik.com/blog/ssgp/</guid><description>Walkthrough of the derivation of streaming sparse Gaussian processes [Bui et al., 2017]</description></item><item><title>Tutorial on variational sparse Gaussian processes</title><link>https://www.itskalvik.com/blog/vfe/</link><pubDate>Tue, 31 May 2022 00:00:00 +0000</pubDate><guid>https://www.itskalvik.com/blog/vfe/</guid><description>Walkthrough of the derivation of the variational sparse Gaussian processes [Titsias 2009]</description></item><item><title>Tutorial on Gaussian Processes</title><link>https://www.itskalvik.com/blog/gps/</link><pubDate>Wed, 29 Apr 2020 00:00:00 +0000</pubDate><guid>https://www.itskalvik.com/blog/gps/</guid><description>Gaussian processes are one of the dominant approaches in Bayesian learning. This tutorial explains Gaussian processes with interactive figures and code</description></item></channel></rss>