Lectures related to Voristicand Characterization of KL Divergences

Explains how entropy measures uncertainty in a system based on possible outcomes.

Explores Projected Gradient Descent and related optimization methods using Bregman Divergence.

Explores formal language operations, including concatenation, union, intersection, and Kleene star for language repetition.

Covers information measures like entropy, joint entropy, and mutual information in information theory and data processing.

Explores linear and cyclic sequences, counting methods, and Mobius inversion formula.

Explores Bourgain's theorem on sparsest cut in graphs, emphasizing semimetrics and cut optimization.

Covers the Exponential Family, including its definition, sufficient statistics, and distribution properties.

Covers formal languages, operations like union and concatenation, and the Kleene star operation.

Introduces Cartesian product and induction for proofs using integers and sets.