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01/19/2022
PDE-Based Optimal Strategy for Unconstrained Online Learning
Unconstrained Online Linear Optimization (OLO) is a practical problem se...
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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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10/07/2020
Provable Hierarchical Imitation Learning via EM
Due to recent empirical successes, the options framework for hierarchica...
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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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05/31/2017
