<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Ezzerg | FSML</title><link>https://fsml-ucl.github.io/authors/ezzerg/</link><atom:link href="https://fsml-ucl.github.io/authors/ezzerg/index.xml" rel="self" type="application/rss+xml"/><description>Ezzerg</description><generator>Hugo Blox Builder (https://hugoblox.com)</generator><language>en-us</language><lastBuildDate>Mon, 06 Jul 2026 13:00:00 +0000</lastBuildDate><image><url>https://fsml-ucl.github.io/media/icon_hufdd866d90d76849587aac6fbf27da1ac_464_512x512_fill_lanczos_center_3.png</url><title>Ezzerg</title><link>https://fsml-ucl.github.io/authors/ezzerg/</link></image><item><title>Four papers accepted at ICML.</title><link>https://fsml-ucl.github.io/news/2026-07-06/</link><pubDate>Mon, 06 Jul 2026 13:00:00 +0000</pubDate><guid>https://fsml-ucl.github.io/news/2026-07-06/</guid><description>&lt;p>Four papers from the group accepted at ICML 2026:&lt;/p>
&lt;ul>
&lt;li>&lt;a href="https://fsml-ucl.github.io/publication/chen2026stationarymmdpoint/">&lt;strong>Stationary MMD points&lt;/strong>&lt;/a>&lt;/li>
&lt;li>&lt;strong>Thinned mean field Langevin dynamics&lt;/strong>&lt;/li>
&lt;li>&lt;a href="https://fsml-ucl.github.io/publication/ezzerg2026robustbayesianoptimisationunbounded/">&lt;strong>Robust Bayesian optimisation with unbounded corruptions&lt;/strong>&lt;/a>&lt;/li>
&lt;li>&lt;a href="https://fsml-ucl.github.io/publication/ng2026tabmgpmartingaleposteriortabpfn/">&lt;strong>TabMGP: Martingale posterior with TabPFN&lt;/strong>&lt;/a>&lt;/li>
&lt;/ul></description></item></channel></rss>