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<rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Algorithms with Predictions · HackerPapers discussions</title><link>https://hackerpaper.kaipfister.de/p/2006.09123/</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/2006.09123/feed.xml" rel="self" type="application/rss+xml" /><item><title>Algorithms with Predictions — mentioned by lqr</title><link>https://news.ycombinator.com/item?id=35894390</link><guid isPermaLink="false">urn:hackerpapers:mention:2006.09123:35894390</guid><pubDate>Wed, 10 May 2023 22:33:20 GMT</pubDate><description>&lt;p&gt;The field of &amp;quot;algorithms with predictions&amp;quot; studies how to use predictions/learning within traditional CS problem settings: &amp;gt; We introduce algorithms that use predictions from machine learning applied to the input to circumvent worst-case analysis. We aim for algorithms that have near optimal performance when these predictions are good, but recover the prediction-less worst case behavior when the predictions have large errors. An example is using learning to decide which variable to discretize next in a branch-and-bound integer linear programming solver. The algorithm might be extremely…&lt;/p&gt;&lt;p&gt;&lt;a href="https://hackerpaper.kaipfister.de/p/2006.09123/"&gt;Paper and discussion history&lt;/a&gt;. A mention is not an endorsement.&lt;/p&gt;</description><category>cs.DS</category></item><item><title>Algorithms with Predictions — mentioned by morkpek</title><link>https://news.ycombinator.com/item?id=35888045</link><guid isPermaLink="false">urn:hackerpapers:mention:2006.09123:35888045</guid><pubDate>Wed, 10 May 2023 14:38:53 GMT</pubDate><description>&lt;p&gt;This is a wonderful paper. In a similar vein, &amp;quot;Algorithms with Predictions&amp;quot; (https://arxiv.org/pdf/2006.09123.pdf) presents a bunch of fun algorithmic problems related to bringing AI into traditional algorithms.&lt;/p&gt;&lt;p&gt;&lt;a href="https://hackerpaper.kaipfister.de/p/2006.09123/"&gt;Paper and discussion history&lt;/a&gt;. A mention is not an endorsement.&lt;/p&gt;</description><category>cs.DS</category></item></channel></rss>
