Explore a keynote lecture on variational formulations and distributed convex optimization methods presented by Todd Coleman from UC San Diego at the Simons Institute. Delve into information-theoretic approaches for developing trustworthy machine learning systems, gaining insights into advanced optimization techniques and their applications in enhancing the reliability of AI algorithms.
Variational Formulations and Distributed Convex Optimization Methods for...
Overview
Syllabus
KEYNOTE: Variational Formulations and Distributed Convex Optimization Methods for...
Taught by
Simons Institute
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