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<rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Stacked Approximated Regression Machine: A Simple Deep Learning Approach · HackerPapers discussions</title><link>https://hackerpaper.kaipfister.de/p/1608.04062/</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/1608.04062/feed.xml" rel="self" type="application/rss+xml" /><item><title>Stacked Approximated Regression Machine: A Simple Deep Learning Approach — mentioned by nl</title><link>https://news.ycombinator.com/item?id=12459917</link><guid isPermaLink="false">urn:hackerpapers:mention:1608.04062:12459917</guid><pubDate>Fri, 09 Sep 2016 06:01:37 GMT</pubDate><description>&lt;p&gt;Update on this: it has been withdrawn: https://arxiv.org/abs/1608.04062&lt;/p&gt;&lt;p&gt;&lt;a href="https://hackerpaper.kaipfister.de/p/1608.04062/"&gt;Paper and discussion history&lt;/a&gt;.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>Stacked Approximated Regression Machine: A Simple Deep Learning Approach — mentioned by joe_the_user</title><link>https://news.ycombinator.com/item?id=12459300</link><guid isPermaLink="false">urn:hackerpapers:mention:1608.04062:12459300</guid><pubDate>Fri, 09 Sep 2016 02:31:25 GMT</pubDate><description>&lt;p&gt;Paper withdrawn https://arxiv.org/abs/1608.04062 It&amp;#x27;s kind of an odd thing. I (random non-academic amateur) actually spent a bunch of time trying to parse the paper, which was kind of a combination of interesting ideas and incomprehensible ambiguities. One real academic researcher also put some time into it. The good part of the paper is explained here. My guess is the problem is going from ARM to SARM. http://gabgoh.github.io/SARG/ While I&amp;#x27;m sure most people involved think of the experience as a wash, I feel like I learned a bunch about deep learning in the process. PS, also sad that the…&lt;/p&gt;&lt;p&gt;&lt;a href="https://hackerpaper.kaipfister.de/p/1608.04062/"&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>Stacked Approximated Regression Machine: A Simple Deep Learning Approach — HN submission</title><link>https://news.ycombinator.com/item?id=12430621</link><guid isPermaLink="false">urn:hackerpapers:submission:1608.04062:12430621</guid><pubDate>Mon, 05 Sep 2016 14:54:58 GMT</pubDate><description>&lt;p&gt;Stacked Approximated Regression Machine: A Simple Deep Learning Approach&lt;/p&gt;&lt;p&gt;&lt;/p&gt;&lt;p&gt;123 points; 27 discussion replies on HN. &lt;a href="https://hackerpaper.kaipfister.de/p/1608.04062/"&gt;Paper and source history&lt;/a&gt;. A submission is not an endorsement.&lt;/p&gt;</description><category>cs.LG</category></item><item><title>Stacked Approximated Regression Machine: A Simple Deep Learning Approach — HN submission</title><link>https://news.ycombinator.com/item?id=12426468</link><guid isPermaLink="false">urn:hackerpapers:submission:1608.04062:12426468</guid><pubDate>Sun, 04 Sep 2016 20:11:41 GMT</pubDate><description>&lt;p&gt;Stacked Approximated Regression Machine: A Simple Deep Learning Approach&lt;/p&gt;&lt;p&gt;&lt;/p&gt;&lt;p&gt;2 points; 0 discussion replies on HN. &lt;a href="https://hackerpaper.kaipfister.de/p/1608.04062/"&gt;Paper and source history&lt;/a&gt;. A submission is not an endorsement.&lt;/p&gt;</description><category>cs.LG</category></item></channel></rss>
