<?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>Logistic Regression on a.dev</title><link>https://aditya08.github.io/tags/logistic-regression/</link><description>Recent content in Logistic Regression on a.dev</description><generator>Hugo -- 0.148.0</generator><language>en</language><lastBuildDate>Wed, 16 Dec 2020 00:00:00 +0000</lastBuildDate><atom:link href="https://aditya08.github.io/tags/logistic-regression/index.xml" rel="self" type="application/rss+xml"/><item><title>Avoiding Communication in Logistic Regression</title><link>https://aditya08.github.io/publications/logreg/</link><pubDate>Wed, 16 Dec 2020 00:00:00 +0000</pubDate><guid>https://aditya08.github.io/publications/logreg/</guid><description>This paper presents CA-SGD, a communication-avoiding stochastic gradient descent method for logistic regression</description></item></channel></rss>