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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.
