Professor
College of Letters & Science | Department of Computer Science
Ilias Diakonikolas is the Sheldon B. Lubar Professor in the Department of Computer Sciences at UW Madison. His research is on the algorithmic foundations of massive data sets, in particular on designing efficient algorithms for fundamental problems in machine learning. He is a recipient of a Sloan Fellowship, an NSF CAREER Award, a Romnes Faculty Fellowship, a Google Faculty Research Award, a Marie Curie Fellowship, the best paper award at NeurIPS 2019, the IBM Research Pat Goldberg Best Paper Award, and an honorable mention in the George Nicholson competition from the INFORMS society. Ilias wrote with Daniel Kane the textbook “Algorithmic High-dimensional Robust Statistics” published by Cambridge University Press.
Talks:
Robustness in Machine Learning
The field of robust learning addresses the challenge of devising estimators that demonstrate reliable performance in situations where the data deviates substantially from the assumed idealized models. Over the past decade, a line of work in computer science has led to significant advances in the algorithmic aspects of this field. This talk will survey these developments and connect them to pressing data analysis applications.