A -Con-Sequential View of Information for Statistical Learning and Optimization
Offered By: Simons Institute via YouTube
Course Description
Overview
Explore a thought-provoking keynote lecture on the sequential perspective of information in statistical learning and optimization. Delve into Tara Javidi's insights from UC San Diego as she presents her research on information-theoretic methods for trustworthy machine learning. Gain a deeper understanding of how sequential information processing impacts statistical learning algorithms and optimization techniques. Discover the implications of this approach for developing more reliable and robust machine learning systems.
Syllabus
KEYNOTE: A (Con)Sequential View of Information for Statistical Learning and Optimization
Taught by
Simons Institute
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