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<rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>The Complexity of Gradient Descent: CLS = PPAD $\cap$ PLS · HackerPapers discussions</title><link>https://hackerpaper.kaipfister.de/p/2011.01929/</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/2011.01929/feed.xml" rel="self" type="application/rss+xml" /><item><title>The Complexity of Gradient Descent: CLS = PPAD $\cap$ PLS — mentioned by eterevsky</title><link>https://news.ycombinator.com/item?id=36930559</link><guid isPermaLink="false">urn:hackerpapers:mention:2011.01929:36930559</guid><pubDate>Sun, 30 Jul 2023 12:37:34 GMT</pubDate><description>&lt;p&gt;Here&amp;#x27;s the original paper: https://arxiv.org/abs/2011.01929 And here are the complexity classes that are mentioned in the abstract: https://complexityzoo.net/Complexity_Zoo:P#ppad and https://complexityzoo.net/Complexity_Zoo:P#pls.&lt;/p&gt;&lt;p&gt;&lt;a href="https://hackerpaper.kaipfister.de/p/2011.01929/"&gt;Paper and discussion history&lt;/a&gt;. A mention is not an endorsement.&lt;/p&gt;</description><category>cs.CC</category></item><item><title>The Complexity of Gradient Descent: CLS = PPAD $\cap$ PLS — mentioned by ShamelessC</title><link>https://news.ycombinator.com/item?id=36921354</link><guid isPermaLink="false">urn:hackerpapers:mention:2011.01929:36921354</guid><pubDate>Sat, 29 Jul 2023 15:43:48 GMT</pubDate><description>&lt;p&gt;https://arxiv.org/abs/2011.01929 TFP&lt;/p&gt;&lt;p&gt;&lt;a href="https://hackerpaper.kaipfister.de/p/2011.01929/"&gt;Paper and discussion history&lt;/a&gt;. A mention is not an endorsement.&lt;/p&gt;</description><category>cs.CC</category></item><item><title>The Complexity of Gradient Descent: CLS = PPAD $\cap$ PLS — mentioned by belter</title><link>https://news.ycombinator.com/item?id=28250870</link><guid isPermaLink="false">urn:hackerpapers:mention:2011.01929:28250870</guid><pubDate>Fri, 20 Aug 2021 20:14:11 GMT</pubDate><description>&lt;p&gt;&amp;quot;...It is hard to overstate the importance of Gradient Descent. As noted by Jin et al. [2021], “Machine learning algorithms generally arise via formulations as optimization problems, and,despite a massive classical toolbox of sophisticated optimization algorithms and a major modern effort to further develop that toolbox, the simplest algorithms—gradient descent, which dates to the 1840s [Cauchy, 1847] and stochastic gradient descent, which dates to the 1950s [Robbins and Monro, 1951]—reign supreme in machine learning.”...&amp;quot; &amp;quot;Our main result is to show that finding a point where Gradient…&lt;/p&gt;&lt;p&gt;&lt;a href="https://hackerpaper.kaipfister.de/p/2011.01929/"&gt;Paper and discussion history&lt;/a&gt;. A mention is not an endorsement.&lt;/p&gt;</description><category>cs.CC</category></item><item><title>The Complexity of Gradient Descent: CLS = PPAD $\cap$ PLS — HN submission</title><link>https://news.ycombinator.com/item?id=28250869</link><guid isPermaLink="false">urn:hackerpapers:submission:2011.01929:28250869</guid><pubDate>Fri, 20 Aug 2021 20:14:11 GMT</pubDate><description>&lt;p&gt;The Complexity of Gradient Descent: CLS = PPAD ∩ PLS&lt;/p&gt;&lt;p&gt;&lt;/p&gt;&lt;p&gt;2 points; 1 discussion reply on HN. &lt;a href="https://hackerpaper.kaipfister.de/p/2011.01929/"&gt;Paper and source history&lt;/a&gt;. A submission is not an endorsement.&lt;/p&gt;</description><category>cs.CC</category></item></channel></rss>
