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<rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Variational Fourier features for Gaussian processes · HackerPapers discussions</title><link>https://hackerpaper.kaipfister.de/p/1611.06740/</link><description>Collected HN comments and submissions linking this paper.</description><language>en</language><lastBuildDate>Mon, 02 Nov 2026 11:16:22 GMT</lastBuildDate><atom:link href="https://hackerpaper.kaipfister.de/p/1611.06740/feed.xml" rel="self" type="application/rss+xml" /><item><title>Variational Fourier features for Gaussian processes — mentioned by nobodywillobsrv</title><link>https://news.ycombinator.com/item?id=29736872</link><guid isPermaLink="false">urn:hackerpapers:mention:1611.06740:29736872</guid><pubDate>Thu, 30 Dec 2021 14:19:44 GMT</pubDate><description>&lt;p&gt;Didn&amp;#x27;t read in detail and had a hard time understanding what their goal was but there are important things to understand regarding Fourier features (eigenfunctions, sin, cos, etc) and the Gaussian Kernel Start with something like this https://arxiv.org/pdf/1611.06740.pdf and reading links might help.&lt;/p&gt;&lt;p&gt;&lt;a href="https://hackerpaper.kaipfister.de/p/1611.06740/"&gt;Paper and discussion history&lt;/a&gt;. A mention is not an endorsement.&lt;/p&gt;</description><category>stat.ML</category></item></channel></rss>
