<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Maitrei Kohli | MANIFOLD Lab</title><link>https://manifold.cs.ucl.ac.uk/author/maitrei-kohli/</link><atom:link href="https://manifold.cs.ucl.ac.uk/author/maitrei-kohli/index.xml" rel="self" type="application/rss+xml"/><description>Maitrei Kohli</description><generator>Hugo Blox Builder (https://hugoblox.com)</generator><language>en-us</language><image><url>https://manifold.cs.ucl.ac.uk/author/maitrei-kohli/avatar_hu9015885936863768450.jpeg</url><title>Maitrei Kohli</title><link>https://manifold.cs.ucl.ac.uk/author/maitrei-kohli/</link></image><item><title>AutoML</title><link>https://manifold.cs.ucl.ac.uk/project/automl/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://manifold.cs.ucl.ac.uk/project/automl/</guid><description>&lt;p>Using AutoML-Multiverse, we search through pipelines in an unbiased and data-driven manner to select the opimal machine learning pipeline for the task at hand.&lt;/p></description></item></channel></rss>