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<rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Faster Maximum Inner Product Search in High Dimensions · HackerPapers discussions</title><link>https://hackerpaper.kaipfister.de/p/2212.07551/</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/2212.07551/feed.xml" rel="self" type="application/rss+xml" /><item><title>Faster Maximum Inner Product Search in High Dimensions — mentioned by motiwari</title><link>https://news.ycombinator.com/item?id=35488345</link><guid isPermaLink="false">urn:hackerpapers:mention:2212.07551:35488345</guid><pubDate>Fri, 07 Apr 2023 23:16:30 GMT</pubDate><description>&lt;p&gt;Right! Though to clarify a few nits: we use successive elimination instead of successive halving. And we talk about the Maximum Inner Product Search problem (very similar to NN problem) in our followup work: https://ar5iv.org/abs/2212.07551&lt;/p&gt;&lt;p&gt;&lt;a href="https://hackerpaper.kaipfister.de/p/2212.07551/"&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>Faster Maximum Inner Product Search in High Dimensions — mentioned by eternalban</title><link>https://news.ycombinator.com/item?id=35459964</link><guid isPermaLink="false">urn:hackerpapers:mention:2212.07551:35459964</guid><pubDate>Wed, 05 Apr 2023 20:32:01 GMT</pubDate><description>&lt;p&gt;Thanks for sharing your great work! [Try this tool from arxiv labs (just replace the x in original url with a 5)] https://ar5iv.labs.arxiv.org/html/2006.06856 https://ar5iv.labs.arxiv.org/html/2212.07551&lt;/p&gt;&lt;p&gt;&lt;a href="https://hackerpaper.kaipfister.de/p/2212.07551/"&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>Faster Maximum Inner Product Search in High Dimensions — mentioned by motiwari</title><link>https://news.ycombinator.com/item?id=35459248</link><guid isPermaLink="false">urn:hackerpapers:mention:2212.07551:35459248</guid><pubDate>Wed, 05 Apr 2023 19:30:18 GMT</pubDate><description>&lt;p&gt;Really funny that you mention that! Some of our more recent work focuses on using adaptive sampling techniques in approximate-nearest-neighbor search (actually, the related problem of maximum inner product search: https://ar5iv.org/abs/2212.07551). We definitely think that our approach could be used to make an index structure for ANN search directly, for example in conjunction with Hierarchical Navigable Small World approaches.&lt;/p&gt;&lt;p&gt;&lt;a href="https://hackerpaper.kaipfister.de/p/2212.07551/"&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>
