Data-driven Optimal Cost Selection for Distributionally Robust Optimization

19 May 2017

Papers citing "Data-driven Optimal Cost Selection for Distributionally Robust Optimization"

8 / 8 papers shown

Title
Distributionally Robust Groupwise Regularization Estimator Jose H. Blanchet Yang Kang OOD 34 23 0 11 May 2017
Semi-supervised Learning based on Distributionally Robust Optimization Jose H. Blanchet Yang Kang OOD 56 29 0 28 Feb 2017
Robust Wasserstein Profile Inference and Applications to Machine Learning Jose H. Blanchet Yang Kang Karthyek Murthy OOD 65 331 0 18 Oct 2016
Less than a Single Pass: Stochastically Controlled Stochastic Gradient Method Lihua Lei Michael I. Jordan 82 96 0 12 Sep 2016
The Empirical Likelihood Approach to Quantifying Uncertainty in Sample Average Approximation Henry Lam Enlu Zhou 42 61 0 09 Apr 2016
Distributionally Robust Logistic Regression Soroosh Shafieezadeh-Abadeh Peyman Mohajerin Esfahani Daniel Kuhn OOD 73 305 0 30 Sep 2015
Data-driven Distributionally Robust Optimization Using the Wasserstein Metric: Performance Guarantees and Tractable Reformulations Peyman Mohajerin Esfahani Daniel Kuhn 77 1,655 0 19 May 2015
A Survey on Metric Learning for Feature Vectors and Structured Data A. Bellet Amaury Habrard M. Sebban 105 681 0 28 Jun 2013