More Like this

1. Robust kernels for robust location estimation

   https://doi.org/10.1016/j.neucom.2020.10.090  

   Gallego, Joseph A.; González, Fabio A.; Nasraoui, Olfa (March 2021, Neurocomputing)

   null (Ed.)
2. Distributionally Robust Optimization and Robust Statistics

   https://doi.org/10.1214/24-STS955  

   Blanchet, Jose; Li, Jiajin; Lin, Sirui; Zhang, Xuhui (August 2025, Statistical Science)

   This article reviews distributionally robust optimization as a principled approach for constructing statistical estimators that hedge against deviations between training and deployment environments. It explains precise DRO interpretations of familiar methods such as AdaBoost, LASSO, ridge regression, and dropout, and clarifies the fundamental distinction between DRO and classical contamination-robust statistics. 

   more » « less
3. Distributionally Robust Optimization with Polynomial Robust Constraints

   https://doi.org/10.1007/s10898-025-01504-6  

   Nie, Jiawang; Zhong, Suhan (July 2025, Journal of Global Optimization)
4. Distributionally Robust Behavioral Cloning for Robust Imitation Learning

   https://doi.org/10.1109/CDC49753.2023.10383976  

   Panaganti, Kishan; Xu, Zaiyan; Kalathil, Dileep; Ghavamzadeh, Mohammad (December 2023, IEEE)
5. Robust Grouped Variable Selection Using Distributionally Robust Optimization

   https://doi.org/10.1007/s10957-022-02065-4  

   Chen, Ruidi; Paschalidis, Ioannis Ch. (September 2022, Journal of Optimization Theory and Applications)