Learning-augmented Algorithms: Theory and Applications (LATA)

Speaker

Adam Polak

Speaker Bio

Adam Polak graduated from Jagiellonian University in Kraków advised by Paweł Idziak. During his doctoral studies, he spent six months as a visiting student at MIT, hosted by Virginia Vassilevska Williams. Later he has spent two years as a postdoctoral researcher at École Polytechnique Fédérale de Lausanne, working with Friedrich Eisenbrand and Ola Svensson, and almost a year at the Max Planck Institute for Informatics in Saarbrücken, in the group of Danupon Nanongkai. Currently, Adam works as an assistant professor in the Department of Computing Sciences at Bocconi University. His research interests revolve around algorithms, with a particular focus on fine-grained complexity and on learning-augmented algorithms.

More Information:
Talks at this conference:
 12:30 Approximation Algorithms with Predictions ! Live

 Overview