<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Manuscript | Sustainability and Machine Learning Group</title><link>https://www.sml-group.cc/publication-type/manuscript/</link><atom:link href="https://www.sml-group.cc/publication-type/manuscript/index.xml" rel="self" type="application/rss+xml"/><description>Manuscript</description><generator>Hugo Blox Builder (https://hugoblox.com)</generator><language>en-us</language><lastBuildDate>Sat, 01 Jan 2022 00:00:00 +0000</lastBuildDate><image><url>https://www.sml-group.cc/media/icon_hu474ceb566706ceb24339604b4791fea6_26744_512x512_fill_lanczos_center_3.png</url><title>Manuscript</title><link>https://www.sml-group.cc/publication-type/manuscript/</link></image><item><title>HHAI2022: Augmenting Human Intellect: Proceedings of the First International Conference on Hybrid Human-Artificial Intelligence</title><link>https://www.sml-group.cc/publication/schlobach-2022-hhai-2022/</link><pubDate>Sat, 01 Jan 2022 00:00:00 +0000</pubDate><guid>https://www.sml-group.cc/publication/schlobach-2022-hhai-2022/</guid><description/></item><item><title>Differentially Private Empirical Risk Minimization with Sparsity-Inducing Norms</title><link>https://www.sml-group.cc/publication/kumar-2019/</link><pubDate>Mon, 13 May 2019 00:00:00 +0000</pubDate><guid>https://www.sml-group.cc/publication/kumar-2019/</guid><description/></item><item><title>Autonomous Planning and Control with Bayesian Nonparametric Models</title><link>https://www.sml-group.cc/publication/deisenroth-2012-g/</link><pubDate>Sun, 01 Jan 2012 00:00:00 +0000</pubDate><guid>https://www.sml-group.cc/publication/deisenroth-2012-g/</guid><description/></item><item><title>Toward Optimal Control of Nonlinear Systems with Continuous State Spaces</title><link>https://www.sml-group.cc/publication/deisenroth-2004/</link><pubDate>Thu, 01 Jan 2004 00:00:00 +0000</pubDate><guid>https://www.sml-group.cc/publication/deisenroth-2004/</guid><description/></item></channel></rss>