<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Thesis | Sustainability and Machine Learning Group</title><link>https://www.sml-group.cc/publication-type/thesis/</link><atom:link href="https://www.sml-group.cc/publication-type/thesis/index.xml" rel="self" type="application/rss+xml"/><description>Thesis</description><generator>Hugo Blox Builder (https://hugoblox.com)</generator><language>en-us</language><lastBuildDate>Wed, 14 Jun 2023 00:00:00 +0000</lastBuildDate><image><url>https://www.sml-group.cc/media/icon_hu474ceb566706ceb24339604b4791fea6_26744_512x512_fill_lanczos_center_3.png</url><title>Thesis</title><link>https://www.sml-group.cc/publication-type/thesis/</link></image><item><title>On discretisation drift and smoothness regularisation in neural network training</title><link>https://www.sml-group.cc/publication/rosca-2023/</link><pubDate>Wed, 14 Jun 2023 00:00:00 +0000</pubDate><guid>https://www.sml-group.cc/publication/rosca-2023/</guid><description/></item><item><title>Decision-Making with Gaussian Processes: Sampling Strategies and Monte Carlo Methods</title><link>https://www.sml-group.cc/publication/wilson-2023/</link><pubDate>Mon, 27 Feb 2023 00:00:00 +0000</pubDate><guid>https://www.sml-group.cc/publication/wilson-2023/</guid><description/></item><item><title>Gaussian Processes for Hybridisation of Analytical and Data-Driven Approaches for Design of Experiments</title><link>https://www.sml-group.cc/publication/olofsson-2020/</link><pubDate>Sat, 09 May 2020 00:00:00 +0000</pubDate><guid>https://www.sml-group.cc/publication/olofsson-2020/</guid><description/></item><item><title>Deep Gaussian Processes: Advances in Models and Inference</title><link>https://www.sml-group.cc/publication/salimbeni-2019-a/</link><pubDate>Fri, 04 Oct 2019 00:00:00 +0000</pubDate><guid>https://www.sml-group.cc/publication/salimbeni-2019-a/</guid><description/></item><item><title>Practical Challenges of Learning andRepresentation for Large Graphs</title><link>https://www.sml-group.cc/publication/chamberlain-2018-a/</link><pubDate>Wed, 19 Sep 2018 00:00:00 +0000</pubDate><guid>https://www.sml-group.cc/publication/chamberlain-2018-a/</guid><description/></item><item><title>Efficient Reinforcement Learning using Gaussian Processes</title><link>https://www.sml-group.cc/publication/deisenroth-2009-d/</link><pubDate>Thu, 01 Jan 2009 00:00:00 +0000</pubDate><guid>https://www.sml-group.cc/publication/deisenroth-2009-d/</guid><description/></item><item><title>An Online Computation Approach to Optimal Finite-Horizon Control of Nonlinear Stochastic Systems</title><link>https://www.sml-group.cc/publication/deisenroth-2006-a/</link><pubDate>Sun, 01 Jan 2006 00:00:00 +0000</pubDate><guid>https://www.sml-group.cc/publication/deisenroth-2006-a/</guid><description/></item></channel></rss>