<?xml version="1.0" encoding="utf-8" standalone="yes" ?>
<rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom">
  <channel>
    <title>Dimension Reduction | Akhilesh Tumu</title>
    <link>https://aktumu.github.io/tag/dimension-reduction/</link>
      <atom:link href="https://aktumu.github.io/tag/dimension-reduction/index.xml" rel="self" type="application/rss+xml" />
    <description>Dimension Reduction</description>
    <generator>Wowchemy (https://wowchemy.com)</generator><language>en-us</language><lastBuildDate>Mon, 01 May 2023 00:00:01 +0000</lastBuildDate>
    <image>
      <url>https://aktumu.github.io/media/icon_huf81513cd465b0045e76ded67516f9fbb_13124_512x512_fill_lanczos_center_3.png</url>
      <title>Dimension Reduction</title>
      <link>https://aktumu.github.io/tag/dimension-reduction/</link>
    </image>
    
    <item>
      <title>Learning-Based Sketching</title>
      <link></link>
      <pubDate>Mon, 01 May 2023 00:00:01 +0000</pubDate>
      <guid></guid>
      <description>&lt;p&gt;These are &amp;ldquo;lecture notes&amp;rdquo; that outline modern research and algorithmic advancements in using machine learning to improve performance, particularly in sketching/dimension reduction algorithms for low-rank approximation.&lt;/p&gt;
</description>
    </item>
    
  </channel>
</rss>
