<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>News |</title><link>https://tiao.io/categories/news/</link><atom:link href="https://tiao.io/categories/news/index.xml" rel="self" type="application/rss+xml"/><description>News</description><generator>HugoBlox Kit (https://hugoblox.com)</generator><language>en-us</language><lastBuildDate>Fri, 01 May 2026 00:00:00 +0000</lastBuildDate><image><url>https://tiao.io/media/icon_hu_9c2a75fde2335590.png</url><title>News</title><link>https://tiao.io/categories/news/</link></image><item><title>📄 One paper accepted to ICML 2026</title><link>https://tiao.io/posts/one-paper-accepted-to-icml2026/</link><pubDate>Fri, 01 May 2026 00:00:00 +0000</pubDate><guid>https://tiao.io/posts/one-paper-accepted-to-icml2026/</guid><description>&lt;p&gt;Our paper
was accepted to ICML 2026. This is
joint work with Jihao Andreas Lin and Sebastian Ament (co-first authors), and
David Eriksson, Maximilian Balandat, and Eytan Bakshy.&lt;/p&gt;</description></item><item><title>📄 One paper accepted to AutoML 2025</title><link>https://tiao.io/posts/one-paper-accepted-to-automl2025/</link><pubDate>Tue, 15 Jul 2025 00:00:00 +0000</pubDate><guid>https://tiao.io/posts/one-paper-accepted-to-automl2025/</guid><description>&lt;p&gt;Our paper
was accepted to the
4th International Conference on Automated Machine Learning (AutoML 2025) in
the ABCD Track. This is joint work with the
at
Meta CAS, with Miles Olson, Elizabeth Santorella, Sait Cakmak, and me as
co-first authors.&lt;/p&gt;</description></item><item><title>💼 Joined Meta CAS Adaptive Experimentation</title><link>https://tiao.io/posts/joined-meta-cas/</link><pubDate>Mon, 05 Aug 2024 00:00:00 +0000</pubDate><guid>https://tiao.io/posts/joined-meta-cas/</guid><description>&lt;p&gt;Started as a Research Scientist at Meta on the Adaptive Experimentation (AE)
team within Central Applied Science (CAS), based in New York City. The team
develops and maintains the open-source
and
frameworks for Bayesian optimization and
adaptive experimentation at scale.&lt;/p&gt;</description></item><item><title>🎓 PhD thesis completed</title><link>https://tiao.io/posts/phd-thesis-completed/</link><pubDate>Fri, 15 Dec 2023 00:00:00 +0000</pubDate><guid>https://tiao.io/posts/phd-thesis-completed/</guid><description>&lt;p&gt;Submitted my PhD thesis, &lt;em&gt;Probabilistic Machine Learning in the Age of Deep
Learning: New Perspectives for Gaussian Processes, Bayesian Optimization and
Beyond&lt;/em&gt;, at the University of Sydney. Supervised by Fabio Ramos and Edwin
Bonilla. The full text and chapter PDFs are available
.&lt;/p&gt;</description></item><item><title>📄 One paper accepted to ICML 2023</title><link>https://tiao.io/posts/one-paper-accepted-to-icml2023/</link><pubDate>Tue, 25 Apr 2023 20:37:43 +0000</pubDate><guid>https://tiao.io/posts/one-paper-accepted-to-icml2023/</guid><description>&lt;p&gt;Our paper
was accepted to ICML2023 as an Oral Presentation!
This work was largely done during my time at Secondmind Labs as a
Student Researcher, in collaboration with Vincent Dutordoir and Victor Picheny.&lt;/p&gt;</description></item><item><title>📄 One paper accepted to NeurIPS 2022</title><link>https://tiao.io/posts/one-paper-accepted-to-neurips2022/</link><pubDate>Sat, 15 Oct 2022 18:36:59 +0000</pubDate><guid>https://tiao.io/posts/one-paper-accepted-to-neurips2022/</guid><description>&lt;p&gt;Our paper
was accepted
to NeurIPS 2022. Led by Rafael Oliveira, this is the batch extension of
with theoretical convergence
guarantees for parallel Bayesian optimization. Joint work with Rafael
Oliveira, Edwin Bonilla, and Fabio Ramos.&lt;/p&gt;</description></item><item><title>📄 One paper accepted to ICML 2021</title><link>https://tiao.io/posts/one-paper-accepted-to-icml2021/</link><pubDate>Sat, 08 May 2021 00:00:00 +0000</pubDate><guid>https://tiao.io/posts/one-paper-accepted-to-icml2021/</guid><description>&lt;p&gt;Our paper
was
accepted to ICML 2021 as a &lt;strong&gt;Long Talk&lt;/strong&gt; (awarded to the top 3% of submissions).
This is joint work with Aaron Klein, Cédric Archambeau, Edwin Bonilla, Matthias
Seeger, and Fabio Ramos — much of it carried out during my AWS Berlin
internship.&lt;/p&gt;</description></item><item><title>📄 One paper accepted to NeurIPS 2020</title><link>https://tiao.io/posts/one-paper-accepted-to-neurips2020/</link><pubDate>Fri, 25 Sep 2020 00:00:00 +0000</pubDate><guid>https://tiao.io/posts/one-paper-accepted-to-neurips2020/</guid><description>&lt;p&gt;Our paper
was accepted to NeurIPS 2020 as a
&lt;strong&gt;Spotlight Presentation&lt;/strong&gt; (awarded to the top 3% of submissions). This is
joint work with Pantelis Elinas and Edwin Bonilla.&lt;/p&gt;</description></item></channel></rss>