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10/15/2022
Distributionally Robust Multiclass Classification and Applications in Deep Image Classifiers
We develop a Distributionally Robust Optimization (DRO) formulation for ...
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09/27/2021
Distributionally Robust Multi-Output Regression Ranking
Despite their empirical success, most existing listwiselearning-to-rank ...
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09/27/2021
Distributionally Robust Multiclass Classification and Applications in Deep CNN Image Classifiers
We develop a Distributionally Robust Optimization (DRO) formulation for ...
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08/20/2021
Distributionally Robust Learning
This monograph develops a comprehensive statistical learning framework t...
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06/10/2020
Robust Grouped Variable Selection Using Distributionally Robust Optimization
We propose a Distributionally Robust Optimization (DRO) formulation with...
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06/10/2020
Robustified Multivariate Regression and Classification Using Distributionally Robust Optimization under the Wasserstein Metric
We develop Distributionally Robust Optimization (DRO) formulations for M...
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11/14/2018
Learning Optimal Personalized Treatment Rules Using Robust Regression Informed K-NN
We develop a prediction-based prescriptive model for learning optimal pe...
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06/07/2017