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<rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Beyond Pinball Loss: Quantile Methods for Calibrated Uncertainty Quantification · HackerPapers discussions</title><link>https://hackerpaper.kaipfister.de/p/2011.09588/</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/2011.09588/feed.xml" rel="self" type="application/rss+xml" /><item><title>Beyond Pinball Loss: Quantile Methods for Calibrated Uncertainty Quantification — mentioned by vrm</title><link>https://news.ycombinator.com/item?id=28781532</link><guid isPermaLink="false">urn:hackerpapers:mention:2011.09588:28781532</guid><pubDate>Thu, 07 Oct 2021 03:34:41 GMT</pubDate><description>&lt;p&gt;will repost my comment from the other one: Papers I would recommend from our collaboration on control of normalized plasma pressure: https://papers.nips.cc/paper/2019/hash/7876acb66640bad41f1e1... plasma profile transport modeling: https://iopscience.iop.org/article/10.1088/1741-4326/abe08d/... hybrid dynamical modeling of gross plasma quantities: https://arxiv.org/abs/2006.12682 uncertainty quantification for plasma dynamics: https://arxiv.org/abs/2011.09588 It&amp;#x27;s still early days for this work and for us but we&amp;#x27;re looking at pushing reinforcement learning in methods and engineering to solve…&lt;/p&gt;&lt;p&gt;&lt;a href="https://hackerpaper.kaipfister.de/p/2011.09588/"&gt;Paper and discussion history&lt;/a&gt;. A mention is not an endorsement.&lt;/p&gt;</description><category>cs.LG</category></item><item><title>Beyond Pinball Loss: Quantile Methods for Calibrated Uncertainty Quantification — mentioned by vrm</title><link>https://news.ycombinator.com/item?id=28781522</link><guid isPermaLink="false">urn:hackerpapers:mention:2011.09588:28781522</guid><pubDate>Thu, 07 Oct 2021 03:33:34 GMT</pubDate><description>&lt;p&gt;I need to redo my website, just getting into the more public part of my PhD. Papers I would recommend from our collaboration on control of normalized plasma pressure: https://papers.nips.cc/paper/2019/hash/7876acb66640bad41f1e1... plasma profile transport modeling: https://iopscience.iop.org/article/10.1088/1741-4326/abe08d/... hybrid dynamical modeling of gross plasma quantities: https://arxiv.org/abs/2006.12682 uncertainty quantification for plasma dynamics: https://arxiv.org/abs/2011.09588 It&amp;#x27;s still early days for this work and for us but we&amp;#x27;re looking at pushing reinforcement learning in…&lt;/p&gt;&lt;p&gt;&lt;a href="https://hackerpaper.kaipfister.de/p/2011.09588/"&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>
