Optimal Transport: Theory and Applications

Related lectures (31)

Page 2 of 4

Reviews information measures like entropy and introduces mutual information as a measure of information between random variables.

Covers information measures like entropy and Kullback-Leibler divergence.

Delves into the rigidity of negatively curved manifolds and the interplay between curvature and symmetry.

Explores functors, natural transformations, and the theory of groups, emphasizing the importance of comparisons and structure preservation.

Explores active learning in Group Theory, focusing on products, coproducts, adjunctions, and natural transformations.

Explores entropy bounds, conditional entropy theorems, and the chain rule for entropies, illustrating their application through examples.

Covers entropy, its definition, and its implications in thermodynamics.

Covers the Fourier inversion formula, exploring its mathematical concepts and applications, emphasizing the importance of understanding the sign.

Explores the theory and application of quadrature formulas for numerical analysis.

Explores geodesic convexity in metric spaces and its applications, discussing properties and the stability of inequalities.