7 citations · 13 across the 2 of their papers we have counts for
2 papers
stat.ML2019★ 6 cited
A Distributionally Robust Boosting Algorithm
Jose Blanchet, Yang Kang, Fan Zhang +1
Distributionally Robust Optimization (DRO) has been shown to provide a flexible framework for decision making under uncertainty and statistical estimation. For example, recent work…
stat.ML2017★ 7 cited
Doubly Robust Data-Driven Distributionally Robust Optimization
Jose Blanchet, Yang Kang, Fan Zhang +2
Data-driven Distributionally Robust Optimization (DD-DRO) via optimal transport has been shown to encompass a wide range of popular machine learning algorithms. The distributional…