High-Dimensional Robust Statistics with Ilias Diakonikolas - #351
The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence)
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Navigating Challenges in High-Dimensional Robust Learning
This chapter explores the challenges faced by machine learning algorithms in high-dimensional settings, particularly when their performance hinges on certain data model assumptions. It advocates for developing robust learning methods that can tolerate minor deviations from these models to improve the reliability of machine learning applications.
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