"Information-theoretic Approaches To De Finetti-style Theorems" by Ioannis Kontoyiannis

Honoring Andrew Barron Workshop: Forty Years at the Interplay of Information Theory, Probability and Statistical Learning
Join us for an insightful lecture by Ioannis Kontoyiannis, Churchill Professor of Mathematics of Information at the University of Cambridge, delivered as part of the workshop honoring Andrew Barron at Yale University.
Speaker Bio:
Ioannis Kontoyiannis is the Churchill Professor of Mathematics of Information at the University of Cambridge, specializing in information theory, applied probability, and statistics. His research encompasses applications in neuroscience, bioinformatics, and machine learning algorithms. Professor Kontoyiannis's work has been widely funded by various national and international bodies, including the National Science Foundation, the European Union, and the European Research Council.
Born in Athens, Greece, in 1972, he received his B.Sc. degree in mathematics from Imperial College London in 1992, followed by an M.S. in statistics and a Ph.D. in electrical engineering from Stanford University. He has held numerous academic positions, including roles at Purdue University, Brown University, and Athens University of Economics and Business. He has received multiple accolades, including the Sloan Foundation Research Fellowship and election as a Fellow of the IEEE and IMS.
Abstract:
Since its original statement in the 1930s, de Finetti's representation theorem and its various generalizations have been a central topic in probability and statistics. Recent advancements have demonstrated that information-theoretic techniques can offer new, nonasymptotic versions of de Finetti-style representation theorems and bounds. This talk reviews these approaches and their connections to classical probabilistic results.
🔗 Related Links: fds.yale.edu
📅 Event: Workshop Honoring Andrew Barron: Forty Years at the Interplay of Information Theory, Probability, and Statistical Learning
📍 Location: Yale University, Kline Tower
🗓 Date: April 26-28, 2024