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<rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Meta-Learning Priors for Efficient Online Bayesian Regression · HackerPapers discussions</title><link>https://hackerpaper.kaipfister.de/p/1807.08912/</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/1807.08912/feed.xml" rel="self" type="application/rss+xml" /><item><title>Meta-Learning Priors for Efficient Online Bayesian Regression — mentioned by quantumduck</title><link>https://news.ycombinator.com/item?id=32642544</link><guid isPermaLink="false">urn:hackerpapers:mention:1807.08912:32642544</guid><pubDate>Mon, 29 Aug 2022 19:38:00 GMT</pubDate><description>&lt;p&gt;It&amp;#x27;s also a popular meta-learning algorithm: ALPaCA: https://arxiv.org/abs/1807.08912 Well no one cares unless one of the parties has enough money and interest to hire a lawyer.&lt;/p&gt;&lt;p&gt;&lt;a href="https://hackerpaper.kaipfister.de/p/1807.08912/"&gt;Paper and discussion history&lt;/a&gt;. A mention is not an endorsement.&lt;/p&gt;</description><category>cs.RO</category></item></channel></rss>
