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.