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<rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Sustainable Concrete via Bayesian Optimization · HackerPapers discussions</title><link>https://hackerpaper.kaipfister.de/p/2310.18288/</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/2310.18288/feed.xml" rel="self" type="application/rss+xml" /><item><title>Sustainable Concrete via Bayesian Optimization — mentioned by sebastianeament</title><link>https://news.ycombinator.com/item?id=47604741</link><guid isPermaLink="false">urn:hackerpapers:mention:2310.18288:47604741</guid><pubDate>Wed, 01 Apr 2026 18:35:29 GMT</pubDate><description>&lt;p&gt;Google&amp;#x27;s &amp;quot;Smart Cookie&amp;quot; indeed also used techniques from Bayesian Optimization. For some technical detail, see their write-up here: https://static.googleusercontent.com/media/research.google.c... Our work on concrete here differs in that the problem is both 1) an inherently time-varying, and 2) multi-objective. See our write-up here for details: https://arxiv.org/pdf/2310.18288&lt;/p&gt;&lt;p&gt;&lt;a href="https://hackerpaper.kaipfister.de/p/2310.18288/"&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>
