Sketching Techniques for Kernel Density Estimation or for Optimal Transport Computations

Explore advanced sketching techniques for kernel density estimation and optimal transport computations in this 48-minute lecture by Erik Waingarten from the University of Pennsylvania. Delve into the intersection of sketching and algorithm design, gaining insights into efficient methods for handling large-scale data analysis and computational challenges in machine learning and statistics. Learn how these techniques can be applied to improve the performance and scalability of algorithms in various domains.

Sketching Techniques for Kernel Density Estimation or for Optimal Transport Computations