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A Wasserstein distance approach for concentration of empirical risk
  estimates

A Wasserstein distance approach for concentration of empirical risk estimates

27 February 2019
A. PrashanthL.
S. Bhat
ArXivPDFHTML

Papers citing "A Wasserstein distance approach for concentration of empirical risk estimates"

5 / 5 papers shown
Title
Optimizing Shortfall Risk Metric for Learning Regression Models
Optimizing Shortfall Risk Metric for Learning Regression Models
Harish G. Ramaswamy
L.A. Prashanth
27
0
0
23 May 2025
Learning Bounds for Risk-sensitive Learning
Learning Bounds for Risk-sensitive Learning
Jaeho Lee
Sejun Park
Jinwoo Shin
41
47
0
15 Jun 2020
Estimation of Spectral Risk Measures
Estimation of Spectral Risk Measures
A. Pandey
Prashanth L.A.
S. Bhat
22
11
0
22 Dec 2019
Distribution oblivious, risk-aware algorithms for multi-armed bandits
  with unbounded rewards
Distribution oblivious, risk-aware algorithms for multi-armed bandits with unbounded rewards
Anmol Kagrecha
Jayakrishnan Nair
Krishna Jagannathan
40
47
0
03 Jun 2019
Sharp asymptotic and finite-sample rates of convergence of empirical
  measures in Wasserstein distance
Sharp asymptotic and finite-sample rates of convergence of empirical measures in Wasserstein distance
Jonathan Niles-Weed
Francis R. Bach
141
417
0
01 Jul 2017
1