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<rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Scalable Natural Gradient Langevin Dynamics in Practice · HackerPapers discussions</title><link>https://hackerpaper.kaipfister.de/p/1806.02855/</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/1806.02855/feed.xml" rel="self" type="application/rss+xml" /><item><title>Scalable Natural Gradient Langevin Dynamics in Practice — mentioned by nafizh</title><link>https://news.ycombinator.com/item?id=18552686</link><guid isPermaLink="false">urn:hackerpapers:mention:1806.02855:18552686</guid><pubDate>Wed, 28 Nov 2018 16:16:09 GMT</pubDate><description>&lt;p&gt;I have to disagree with the top reply. You definitely can interpret low probability as I don&amp;#x27;t know. Check out this blog post- http://henripal.github.io/blog/langevin And these papers- 1. https://arxiv.org/abs/1806.02855 2. http://arxiv.org/abs/1811.11145&lt;/p&gt;&lt;p&gt;&lt;a href="https://hackerpaper.kaipfister.de/p/1806.02855/"&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>
