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<rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>On the Brittleness of Bayesian Inference · HackerPapers discussions</title><link>https://hackerpaper.kaipfister.de/p/1308.6306/</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/1308.6306/feed.xml" rel="self" type="application/rss+xml" /><item><title>On the Brittleness of Bayesian Inference — mentioned by spekcular</title><link>https://news.ycombinator.com/item?id=29962126</link><guid isPermaLink="false">urn:hackerpapers:mention:1308.6306:29962126</guid><pubDate>Mon, 17 Jan 2022 00:48:39 GMT</pubDate><description>&lt;p&gt;I was thinking of this paper in particular: https://www.jmlr.org/papers/volume15/miller14a/miller14a.pdf Some other references: https://www.jstor.org/stable/2241268 https://arxiv.org/abs/1308.6306 https://projecteuclid.org/journals/annals-of-mathematical-st...&lt;/p&gt;&lt;p&gt;&lt;a href="https://hackerpaper.kaipfister.de/p/1308.6306/"&gt;Paper and discussion history&lt;/a&gt;. A mention is not an endorsement.&lt;/p&gt;</description><category>math.ST</category></item><item><title>On the Brittleness of Bayesian Inference — mentioned by hyperion2010</title><link>https://news.ycombinator.com/item?id=7917479</link><guid isPermaLink="false">urn:hackerpapers:mention:1308.6306:7917479</guid><pubDate>Thu, 19 Jun 2014 18:16:17 GMT</pubDate><description>&lt;p&gt;Not an example from deep learning, but [1] also demonstrates that Bayesian systems also have similar problems with sensitivity to initial conditions that are quite similar. It is also rather striking that these DLNs seem to be tricked by what we would typically think of as noise. 1. http://arxiv.org/abs/1308.6306&lt;/p&gt;&lt;p&gt;&lt;a href="https://hackerpaper.kaipfister.de/p/1308.6306/"&gt;Paper and discussion history&lt;/a&gt;. A mention is not an endorsement.&lt;/p&gt;</description><category>math.ST</category></item></channel></rss>
