Variational Formulations and Distributed Convex Optimization Methods for...
Offered By: Simons Institute via YouTube
Course Description
Overview
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.
Syllabus
KEYNOTE: Variational Formulations and Distributed Convex Optimization Methods for...
Taught by
Simons Institute
Related Courses
Information-Theoretic Foundations of Generative Adversarial ModelsSimons Institute via YouTube Generalization Bounds for Neural Network Based Decoders
Simons Institute via YouTube Optimal Neural Network Compressors and the Manifold Hypothesis
Simons Institute via YouTube Improving Accuracy-Privacy Tradeoff via Model Reprogramming
Simons Institute via YouTube Fundamental Trade-Offs in FL-FA - Sparsity - DP - Communication Constraints
Simons Institute via YouTube