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	Podcast:		This Week in Machine Learning & Artificial Intelligence (AI) Podcast
	Episode:		High-Dimensional Robust Statistics with Ilias Diakonikolas - #351
	Category:		Technology
	Duration:		00:34:48
	Publish Date:		2020-02-24 15:14:36
	Description:		Today we’re joined by Ilias Diakonikolas, faculty in the CS department at the University of Wisconsin-Madison, and author of the paper Distribution-Independent PAC Learning of Halfspaces with Massart Noise, which was the recipient of the NeurIPS 2019 Outstanding Paper award. The paper, which focuses on high-dimensional robust learning, is regarded as the first progress made around distribution-independent learning with noise since the 80s. In our conversation, we explore robustness in machine learning, problems with corrupt data in high-dimensional settings, and of course, a deep dive into the paper. Check out our full write up on the paper and the interview at twimlai.com/talk/351.
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