On the rate of convergence of empirical barycentres in metric spaces: curvature, convexity and extendible geodesics

06/07/2018
∙
by   Adil Ahidar-Coutrix, et al.
∙
0
∙

This paper provides rates of convergence for empirical barycentres of a Borel probability measure on a metric space under general conditions. Our results are given in the form of sharp oracle inequalities. Our main assumption, of geometrical nature, is shown to be satisfied at least in two meaningful scenarios. The first one is a form of weak curvature constraint of the underlying space referred to as (k, α)-convexity, compatible with a positive upper curvature bound. The second scenario considers the case of a nonnegatively curved space on which geodesics, emanating from a barycentre, can be extended.

READ FULL TEXT

Please sign up or login with your details

Continue with:
Or login with email
Enter Password
Re-enter Password

Forgot password? Click here to reset
Success!
Error Icon An error occurred

Sign in with Google

×

Use your Google Account to sign in to DeepAI

×
Pro

Consider DeepAI Pro

Subscribe to DeepAI Pro
DeepAI Pro
Provides a limited generation allowance each month. When exceeded, you are charged overage rates available at deepai.org/pricing. Also includes an ad-free experience and API access. Renews automatically until canceled. Non-refundable.
Subtotal
Total due today

Payment

Add DeepAI credits
DeepAI credits
One-time purchase. Credits are added to your wallet after payment.
Subtotal
Total due today

Payment