<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>"databases" | Manisha Luthra</title><link>https://manishaluthra.com/tag/databases/</link><atom:link href="https://manishaluthra.com/tag/databases/index.xml" rel="self" type="application/rss+xml"/><description>"databases"</description><generator>Source Themes Academic (https://sourcethemes.com/academic/)</generator><language>en-us</language><lastBuildDate>Fri, 01 Aug 2025 00:00:00 +0000</lastBuildDate><image><url>https://manishaluthra.com/images/icon_hua72e320da4aa914fe422b1f184d07ac9_22024_512x512_fill_lanczos_center_2.png</url><title>"databases"</title><link>https://manishaluthra.com/tag/databases/</link></image><item><title>Learned Cost Models for Query Optimization: From Batch to Streaming Systems</title><link>https://manishaluthra.com/publication/heinrich-2025-lcm-streaming-vldb/</link><pubDate>Fri, 01 Aug 2025 00:00:00 +0000</pubDate><guid>https://manishaluthra.com/publication/heinrich-2025-lcm-streaming-vldb/</guid><description/></item><item><title>Opening The Black-Box: Explaining Learned Cost Models For Databases</title><link>https://manishaluthra.com/publication/heinrich-2025-blackbox-vldb/</link><pubDate>Fri, 01 Aug 2025 00:00:00 +0000</pubDate><guid>https://manishaluthra.com/publication/heinrich-2025-blackbox-vldb/</guid><description/></item><item><title>How Good are Learned Cost Models, Really? Insights from Query Optimization Tasks</title><link>https://manishaluthra.com/publication/heinrich-2025-lcm-eval-sigmod/</link><pubDate>Sun, 01 Jun 2025 00:00:00 +0000</pubDate><guid>https://manishaluthra.com/publication/heinrich-2025-lcm-eval-sigmod/</guid><description/></item><item><title>Distributed GPU Joins on Fast RDMA-capable Networks</title><link>https://manishaluthra.com/publication/thostrup-2022/</link><pubDate>Fri, 23 Jun 2023 00:00:00 +0000</pubDate><guid>https://manishaluthra.com/publication/thostrup-2022/</guid><description/></item><item><title>A Tutorial Workshop on ML for Systems and Systems for ML</title><link>https://manishaluthra.com/publication/luthra-2023-ml4sys-btw/</link><pubDate>Mon, 06 Mar 2023 00:00:00 +0000</pubDate><guid>https://manishaluthra.com/publication/luthra-2023-ml4sys-btw/</guid><description/></item><item><title>The Case for Multi-Task Zero-Shot Learning for Databases</title><link>https://manishaluthra.com/publication/wehrstein-2022/</link><pubDate>Sat, 01 Jan 2022 00:00:00 +0000</pubDate><guid>https://manishaluthra.com/publication/wehrstein-2022/</guid><description/></item></channel></rss>