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<rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Bayesian Model Selection, the Marginal Likelihood, and Generalization · HackerPapers discussions</title><link>https://hackerpaper.kaipfister.de/p/2202.11678/</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/2202.11678/feed.xml" rel="self" type="application/rss+xml" /><item><title>Bayesian Model Selection, the Marginal Likelihood, and Generalization — mentioned by vervez</title><link>https://news.ycombinator.com/item?id=36105844</link><guid isPermaLink="false">urn:hackerpapers:mention:2202.11678:36105844</guid><pubDate>Sun, 28 May 2023 17:08:26 GMT</pubDate><description>&lt;p&gt;Here&amp;#x27;s a good recent paper that looks at this problem and provides remedies in a Bayesian manner. https://arxiv.org/abs/2202.11678&lt;/p&gt;&lt;p&gt;&lt;a href="https://hackerpaper.kaipfister.de/p/2202.11678/"&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>
