<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Fairness |</title><link>https://nick-jhlee.github.io/tags/fairness/</link><atom:link href="https://nick-jhlee.github.io/tags/fairness/index.xml" rel="self" type="application/rss+xml"/><description>Fairness</description><generator>HugoBlox Kit (https://hugoblox.com)</generator><language>en-us</language><lastBuildDate>Sun, 10 Dec 2023 00:00:00 +0000</lastBuildDate><image><url>https://nick-jhlee.github.io/media/icon_hu_eee4a95885829ab2.png</url><title>Fairness</title><link>https://nick-jhlee.github.io/tags/fairness/</link></image><item><title>Fair Streaming Principal Component Analysis: Statistical and Algorithmic Viewpoint</title><link>https://nick-jhlee.github.io/publications/neurips23/</link><pubDate>Sun, 10 Dec 2023 00:00:00 +0000</pubDate><guid>https://nick-jhlee.github.io/publications/neurips23/</guid><description>&lt;p&gt;(To be filled out)&lt;/p&gt;</description></item><item><title>Fast and Efficient MMD-based Fair PCA via Optimization over Stiefel Manifold</title><link>https://nick-jhlee.github.io/publications/aaai22/</link><pubDate>Tue, 22 Feb 2022 00:00:00 +0000</pubDate><guid>https://nick-jhlee.github.io/publications/aaai22/</guid><description>&lt;p&gt;(To be filled out)&lt;/p&gt;</description></item></channel></rss>