Bridging the Gap between Theory and Practice: Solving Intractable Problems in a Multi-Agent Machine Learning World
Event Date: | April 10, 2024 |
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Location: | 1:30 pm |
Contact Name: | LWSN 3102 |
Priority: | No |
School or Program: | Electrical and Computer Engineering |
College Calendar: | Hide |
UC Berkeley
Abstract
Bio
Emmanouil-Vasileios (Manolis) Vlatakis Gkaragkounis is currently a Foundations of Data Science Institute (FODSI) Postdoctoral Fellow at the Simons Institute for the Theory of Computing, UC Berkeley, mentored by Prof. Michael Jordan. He completed his Ph.D. in Computer Science at Columbia University, under Professors Mihalis Yannakakis and Rocco Servedio, and holds B.Sc. and M.Sc. degrees in Electrical and Computer Engineering. Manolis specializes in the theoretical aspects of Data Science, Machine Learning, and Game Theory. His expertise includes beyond worst-case analysis, optimization, and data-driven decision-making in complex environments. Applications of his work span multiple areas from privacy, neural networks, to economics and contract theory, statistical inference, and quantum machine learning.
Host
David Inouye, dinouye@purdue.edu
2024-04-10 08:00:00 2024-04-10 17:00:00 America/Indiana/Indianapolis Bridging the Gap between Theory and Practice: Solving Intractable Problems in a Multi-Agent Machine Learning World Manolis Vlatakis UC Berkeley 1:30 pm