Algorithmic High-Dimensional Robust Statistics - Hardcover

Diakonikolas, Ilias; Kane, Daniel M.

 
9781108837811: Algorithmic High-Dimensional Robust Statistics

Inhaltsangabe

This book presents general principles and scalable methodologies to deal with adversarial outliers in high-dimensional datasets.

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Über die Autorinnen und Autoren

Ilias Diakonikolas is an associate professor of computer science at the University of Wisconsin-Madison. His current research focuses on the algorithmic foundations of machine learning. Diakonikolas is a recipient of a number of research awards, including the best paper award at NeurIPS 2019.

Daniel M. Kane is an associate professor at the University of California, San Diego in the departments of Computer Science and Mathematics. He is a four-time Putnam Fellow and two-time IMO gold medallist. Kane's research interests include number theory, combinatorics, computational complexity, and computational statistics.

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