<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Conformal Prediction | Fanyi Wu Personal Page</title><link>https://fanyi-kaitlyn-wu.github.io/tags/conformal-prediction/</link><atom:link href="https://fanyi-kaitlyn-wu.github.io/tags/conformal-prediction/index.xml" rel="self" type="application/rss+xml"/><description>Conformal Prediction</description><generator>Hugo Blox Builder (https://hugoblox.com)</generator><language>en-us</language><lastBuildDate>Sun, 07 Dec 2025 00:00:00 +0000</lastBuildDate><image><url>https://fanyi-kaitlyn-wu.github.io/media/icon_hu_982c5d63a71b2961.png</url><title>Conformal Prediction</title><link>https://fanyi-kaitlyn-wu.github.io/tags/conformal-prediction/</link></image><item><title>✨ Exciting News from EurlPS 2025!</title><link>https://fanyi-kaitlyn-wu.github.io/blog/eurips_2025/</link><pubDate>Sun, 07 Dec 2025 00:00:00 +0000</pubDate><guid>https://fanyi-kaitlyn-wu.github.io/blog/eurips_2025/</guid><description>&lt;p&gt;I am thrilled to share that my co-authors, my supervisor, and I attended the EurIPS conference and successfully presented a poster showcasing our research.
We present a unified Bayesian decision-theoretic framework for conformal prediction (CP) that integrates Bayesian posterior predictive scores with risk minimization via Bayesian quadrature (BQ).&lt;/p&gt;
&lt;p&gt;Our team was proud to be among the organisers of the EIML Workshop EurIPS (Copenhagen), contributing to an event that was both highly successful and enjoyable.&lt;/p&gt;
&lt;p&gt;Also congrats to the successful organisation of the EIML workshop. I learned a lot and got so many interdisciplinary inspirations from experts around the world.&lt;/p&gt;
&lt;p&gt;A big thank you to everyone involved for making this such a rewarding experience! Thanks again for my collaborator Veronika Lohmanova, and my supervisors Dr. Michele Caprio, Prof. Samuel Kaski 🚀&lt;/p&gt;</description></item><item><title>Bayesian Conformal Prediction as a Decision Risk Problem</title><link>https://fanyi-kaitlyn-wu.github.io/publications/preprint/</link><pubDate>Mon, 29 Sep 2025 00:00:00 +0000</pubDate><guid>https://fanyi-kaitlyn-wu.github.io/publications/preprint/</guid><description>&lt;!-- This work is driven by the results in my [previous paper](/publications/conference-paper/) on LLMs.
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