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<rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>The Marginal Value of Adaptive Gradient Methods in Machine Learning · HackerPapers discussions</title><link>https://hackerpaper.kaipfister.de/p/1705.08292/</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/1705.08292/feed.xml" rel="self" type="application/rss+xml" /><item><title>The Marginal Value of Adaptive Gradient Methods in Machine Learning — mentioned by stochastician</title><link>https://news.ycombinator.com/item?id=15841114</link><guid isPermaLink="false">urn:hackerpapers:mention:1705.08292:15841114</guid><pubDate>Mon, 04 Dec 2017 02:43:50 GMT</pubDate><description>&lt;p&gt;See https://arxiv.org/abs/1705.08292 from our group&lt;/p&gt;&lt;p&gt;&lt;a href="https://hackerpaper.kaipfister.de/p/1705.08292/"&gt;Paper and discussion history&lt;/a&gt;. A mention is not an endorsement.&lt;/p&gt;</description><category>stat.ML</category></item></channel></rss>
