Information Constrained Optimal Transport

Offered By: Simons Institute via YouTube

Course Description

Overview

Save Big on Coursera Plus. 7,000+ courses at $160 off. Limited Time Only!

Explore a keynote presentation on Information Constrained Optimal Transport delivered by Ayfer Ozgur from Stanford University. Delve into advanced concepts in information theory and their applications to trustworthy machine learning. Gain insights into the intersection of optimal transport theory and information constraints, and discover how these principles can be leveraged to enhance the reliability and robustness of machine learning systems.

Syllabus

KEYNOTE: Information Constrained Optimal Transport

Taught by

Simons Institute

Related Courses

Information-Theoretic Foundations of Generative Adversarial Models
Simons 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