18th Annual Shannon Memorial Lecture @ UCSD

Alon Orlitsky, Ph.D.

Professor of Electrical and Computer Engineering and of Computer Science and Engineering 

Qualcomm Chair for Information Theory and its Applications

University of California, San Diego

“Information, Compression, and Knowledge Extraction”

Abstract:

Over the past two decades, our research group has applied information-theoretic principles, concepts, and techniques to diverse areas of machine learning and data science. This expository presentation follows our journey from compression, to estimation, structure exploitation, functional approximation, classification, and (time permitting) robust and reinforcement learning, with a few life lessons learned along the way.

Biography:

Alon Orlitsky received B.Sc. degrees in Mathematics and Electrical Engineering from Ben Gurion University, and M.Sc. and Ph.D. degrees in Electrical Engineering from Stanford University. After a decade with the Communications Analysis Research Department at Bell Laboratories and a year at D.E. Shaw and Company, he joined the University of California San Diego, where he is currently a professor of Electrical and Computer Engineering and of Computer Science and Engineering and holds the Qualcomm Chair for Information Theory and its Applications. His research concerns information theory, statistical modeling, and machine learning, and focuses on fundamental limits and practical algorithms for extracting knowledge from data. Among other distinctions, Alon is a recipient of the 2021 Information Theory Society Claude E. Shannon Award and a co-recipient of the 2017 ICML Best Paper Honorable Mention Award, the 2015 NeurIPS Best Paper Award, the 2006 Information Theory Society Paper Award, and the 1992 IEEE W.R.G. Baker Award.

Wednesday, May 24, 2023, 11AM 

Lecture at Atkinson Hall Calit2 Auditorium

Luncheon: 12:00PM at Atkinson Hall foyer/courtyard

We encourage people to attend our in-person event. For those who are unable to attend in person feel free to attend the lecture virtually via Zoom.

Zoom link: https://ucsd.zoom.us/j/96930641828 

Meeting ID: 969 3064 1828

For more information, please email Octavio Ochoa at [email protected]