YoVDO

Barycenters and a Law of Large Numbers in Gromov Hyperbolic Spaces

Offered By: Applied Algebraic Topology Network via YouTube

Tags

Convex Optimization Courses Law of Large Numbers Courses Wasserstein Distances Courses

Course Description

Overview

Save Big on Coursera Plus. 7,000+ courses at $160 off. Limited Time Only!
Explore barycenters of probability measures on Gromov hyperbolic spaces in this 51-minute lecture. Delve into the development of convex optimization in metric spaces, examining the contraction property in terms of the Wasserstein distance and a form of law of large numbers for stochastic approximation of barycenters. Discover how these findings generalize corresponding results on CAT(0)-spaces, with additional terms dependent on the hyperbolicity constant.

Syllabus

Shin-ichi Ohta (6/23/23): Barycenters and a law of large numbers in Gromov hyperbolic spaces


Taught by

Applied Algebraic Topology Network

Related Courses

Introduction to Optimization
Seoul National University via edX
FA19: Deterministic Optimization
Georgia Institute of Technology via edX
Convex Optimization
Stanford University via edX
Applied Optimization For Wireless, Machine Learning, Big Data
Indian Institute of Technology Kanpur via Swayam
Distributed Optimization and Machine Learning
Indian Institute of Technology Bombay via Swayam