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<rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>GPU-acceleration for Large-scale Tree Boosting · HackerPapers discussions</title><link>https://hackerpaper.kaipfister.de/p/1706.08359/</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/1706.08359/feed.xml" rel="self" type="application/rss+xml" /><item><title>GPU-acceleration for Large-scale Tree Boosting — mentioned by sanxiyn</title><link>https://news.ycombinator.com/item?id=16029694</link><guid isPermaLink="false">urn:hackerpapers:mention:1706.08359:16029694</guid><pubDate>Fri, 29 Dec 2017 14:52:16 GMT</pubDate><description>&lt;p&gt;Note: LightGBM paper https://arxiv.org/abs/1706.08359 cites XGBoost paper (reference 16).&lt;/p&gt;&lt;p&gt;&lt;a href="https://hackerpaper.kaipfister.de/p/1706.08359/"&gt;Paper and discussion history&lt;/a&gt;. A mention is not an endorsement.&lt;/p&gt;</description><category>stat.ML</category></item><item><title>GPU-acceleration for Large-scale Tree Boosting — mentioned by hoaphumanoid</title><link>https://news.ycombinator.com/item?id=14853846</link><guid isPermaLink="false">urn:hackerpapers:mention:1706.08359:14853846</guid><pubDate>Wed, 26 Jul 2017 05:31:57 GMT</pubDate><description>&lt;p&gt;The LightGBM implementation on GPU is based on this paper: https://arxiv.org/abs/1706.08359 they use several smart techniques to make the computation faster. One is how they create histograms of features that are computed in parallel in the GPU&lt;/p&gt;&lt;p&gt;&lt;a href="https://hackerpaper.kaipfister.de/p/1706.08359/"&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>
