<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom" xmlns:content="http://purl.org/rss/1.0/modules/content/"><channel><title>Learning Theory on Anderson de Andrade</title><link>https://deandrade.ca/tags/learning-theory/</link><description>Recent content in Learning Theory on Anderson de Andrade</description><generator>Hugo -- 0.147.2</generator><language>en</language><lastBuildDate>Wed, 01 Apr 2026 00:00:00 +0000</lastBuildDate><atom:link href="https://deandrade.ca/tags/learning-theory/index.xml" rel="self" type="application/rss+xml"/><item><title>Rate-distortion optimization for transformer inference</title><link>https://deandrade.ca/papers/rd-transformers/</link><pubDate>Wed, 01 Apr 2026 00:00:00 +0000</pubDate><guid>https://deandrade.ca/papers/rd-transformers/</guid><description>Split computing for language models, extending the theory of usable information.</description></item><item><title>Lossy common information in a learnable Gray-Wyner Network</title><link>https://deandrade.ca/papers/common-information/</link><pubDate>Sun, 01 Feb 2026 00:00:00 +0000</pubDate><guid>https://deandrade.ca/papers/common-information/</guid><description>Isolate the common information between two dependent computer vision tasks.</description></item><item><title>Rate-distortion theory in coding for machines and its applications</title><link>https://deandrade.ca/papers/rd-cfm/</link><pubDate>Tue, 01 Jul 2025 00:00:00 +0000</pubDate><guid>https://deandrade.ca/papers/rd-cfm/</guid><description>Theoretical considerations and evaluation of split and distillation points.</description></item></channel></rss>