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<rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>No Spurious Local Minima in Nonconvex Low Rank Problems: A Unified Geometric Analysis · HackerPapers discussions</title><link>https://hackerpaper.kaipfister.de/p/1704.00708/</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/1704.00708/feed.xml" rel="self" type="application/rss+xml" /><item><title>No Spurious Local Minima in Nonconvex Low Rank Problems: A Unified Geometric Analysis — mentioned by lawrenceyan</title><link>https://news.ycombinator.com/item?id=19446947</link><guid isPermaLink="false">urn:hackerpapers:mention:1704.00708:19446947</guid><pubDate>Wed, 20 Mar 2019 21:09:02 GMT</pubDate><description>&lt;p&gt;No Spurious Local Minima in Nonconvex Low Rank Problems: A Unified Geometric Analysis [1]. Authored by Rong Ge, an absolute prodigy in the field if I might say. I&amp;#x27;m sure we&amp;#x27;ll be seeing a great deal more from him in solidifying the theory behind the current day trial and error sort of deep learning we have today. [1] https://arxiv.org/abs/1704.00708&lt;/p&gt;&lt;p&gt;&lt;a href="https://hackerpaper.kaipfister.de/p/1704.00708/"&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>
