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Efficient Algorithms for Outlier-Robust Regression

Offered By: Simons Institute via YouTube

Tags

Regression Analysis Courses Data Analysis Courses Machine Learning Courses High-dimensional Statistics Courses

Course Description

Overview

Explore cutting-edge research on outlier-robust regression algorithms in this 41-minute lecture by Adam Klivans from the University of Texas, Austin. Delve into the field of robust and high-dimensional statistics as Klivans presents efficient methods for handling outliers in regression analysis. Gain insights into advanced statistical techniques that improve the accuracy and reliability of regression models in the presence of anomalous data points.

Syllabus

Efficient Algorithms for Outlier-Robust Regression


Taught by

Simons Institute

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