Algorithmic High-Dimensional Robust Statistics
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| Publisher | Cambridge University Press |
| ISBN 13 | 9781108837811 |
| ISBN 10 | 1108837816 |
| Author | Ilias Diakonikolas |
| Language | English |
| Book Description | "This reference text offers a clear unified treatment for graduate students, academic researchers, and professionals interested in understanding and developing statistical procedures for high-dimensional data that are robust to idealized modeling ass |
| About the Author | 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. Read more |
| Publication Date | 7 September 2023 |
| Number of Pages | 300 pages |
Algorithmic High-Dimensional Robust Statistics
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