$Convergence of the empirical measure in expected Wasserstein distance: non asymptotic explicit bounds in $\mathbb{R}^d$$

Convergence of the empirical measure in expected Wasserstein distance: non asymptotic explicit bounds in $\mathbb{R}^d$

2 September 2022

Papers citing "Convergence of the empirical measure in expected Wasserstein distance: non asymptotic explicit bounds in $\mathbb{R}^d$"

9 / 9 papers shown

Title
Wasserstein Distributionally Robust Bayesian Optimization with Continuous Context F. Micheli Efe C. Balta Anastasios Tsiamis John Lygeros 56 0 0 26 Mar 2025
Error bounds for particle gradient descent, and extensions of the log-Sobolev and Talagrand inequalities Rocco Caprio Juan Kuntz Samuel Power A. M. Johansen 43 8 0 04 Mar 2024
On nonparametric estimation of the interaction function in particle system models Denis Belomestny M. Podolskij Shi-Yuan Zhou 32 2 0 22 Feb 2024
Convergence of the Adapted Smoothed Empirical Measures Songyan Hou 24 3 0 26 Jan 2024
Optimization of utility-based shortfall risk: A non-asymptotic viewpoint Sumedh Gupte A. PrashanthL. Sanjay P. Bhat 18 1 0 28 Oct 2023
Convergence of Empirical Optimal Transport in Unbounded Settings Thomas Staudt Shayan Hundrieser OT 21 4 0 20 Jun 2023
On concentration of the empirical measure for radial transport costs Martin Larsson Jonghwa Park Johannes Wiesel OT 15 1 0 29 May 2023
Towards Understanding the Dynamics of Gaussian-Stein Variational Gradient Descent Tianle Liu Promit Ghosal Krishnakumar Balasubramanian Natesh S. Pillai 36 9 0 23 May 2023
The out-of-sample prediction error of the square-root-LASSO and related estimators J. M. Olea Cynthia Rush Amilcar Velez J. Wiesel OOD 43 6 0 14 Nov 2022