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Related lectures (30)
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Optimal Transport: Regularity and Brenier's Theorem
Explores optimal transport regularity and Brenier's theorem, discussing continuity and convexity concepts.
Convex Optimization: Introduction and Sets
Covers the fundamentals of convex optimization, including mathematical problems, minimizers, and solution concepts, with an emphasis on efficient methods and practical applications.
Optimal Transport: Theory and Applications
Explores Lagrange multipliers, minimax theorems, and convex subsets in optimal transport theory.
Convex Sets: Mathematical Optimization
Introduces convex optimization, covering convex sets, solution concepts, and efficient numerical methods in mathematical optimization.
Convex Optimization: Epigraphs
Explores epigraphs, convexity of bivariate functions, and log-sum-exp functions in convex optimization.
Convex Sets: MGT-418 Lecture
On Convex Optimization covers course organization, mathematical optimization problems, solution concepts, and optimization methods.
Convex Optimization: Gradient Descent
Explores VC dimension, gradient descent, convex sets, and Lipschitz functions in convex optimization.
Convex Optimization
Covers an overview of convex optimization, affine sets, polyhedra, ellipsoids, and convex functions.
KKT and Convex Optimization
Covers the KKT conditions and convex optimization, discussing constraint qualifications and tangent cones of convex sets.
Fenchel Conjugation: Basics and Applications
Introduces Fenchel conjugation, exploring its properties, examples, and applications in nonsmooth optimization problems and minimax formulations.
