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<rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Deep Kernel Learning · HackerPapers discussions</title><link>https://hackerpaper.kaipfister.de/p/1511.02222/</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/1511.02222/feed.xml" rel="self" type="application/rss+xml" /><item><title>Deep Kernel Learning — mentioned by ysaatchi</title><link>https://news.ycombinator.com/item?id=44966775</link><guid isPermaLink="false">urn:hackerpapers:mention:1511.02222:44966775</guid><pubDate>Wed, 20 Aug 2025 21:37:52 GMT</pubDate><description>&lt;p&gt;you can combine deep NNets with GPs, e.g. here https://arxiv.org/abs/1511.02222 So it isn&amp;#x27;t a matter of which is better. If you ever need to imbue your deep nets with good confidence estimates, it is definitely worth checking out.&lt;/p&gt;&lt;p&gt;&lt;a href="https://hackerpaper.kaipfister.de/p/1511.02222/"&gt;Paper and discussion history&lt;/a&gt;. A mention is not an endorsement.&lt;/p&gt;</description><category>cs.LG</category></item></channel></rss>
