People
Amin Karbasi, Ph,D
Associate Professor, Electrical Engineering, Computer Science, Statistics and Data Science
Amin Karbasi is currently an associate professor of electrical engineering, computer science, and statistics and data science at Yale university. Prior to that he was a post-doctoral scholar at ETH Zurich, Switzerland (2013-2014). He obtained his Ph.D. (2012) and M.Sc. (2007) in computer and communication sciences from EPFL, Switzerland and his B.Sc. (2004) in electrical engineering from the same university.
What do you do with Data Science?
Professor Karbasi’s research addresses the fundamental challenges in large-scale machine learning/signal processing problems and their applications in the sciences. His group research currently focuses on the following directions: 1) development of combinatorial and continuous optimization methods for big data, 2) fundamental studies of the trade-offs between computational resources and statistical risk in the broader context of machine learning and optimization, and 3) development of robust inference algorithms for large-scale public-health and neuroscience applications.
Publication Highlights
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Optimal Guarantees for Algorithmic Reproducibility and Gradient Complexity in Convex Optimization
Liang Zhang, Junchi Yang, Amin Karbasi, Niao He
Featured Research
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Computational Science
Optimal Guarantees for Algorithmic Reproducibility and Gradient Complexity in Convex Optimization
Liang Zhang, Junchi Yang, Amin Karbasi, Niao He