8 citations · 13 across the 5 of their papers we have counts for
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cs.LG2021★ 1 cited
Distributionally Robust Multi-Output Regression Ranking
Shahabeddin Sotudian, Ruidi Chen, Ioannis Paschalidis
Despite their empirical success, most existing listwiselearning-to-rank (LTR) models are not built to be robust to errors in labeling or annotation, distributional data shift, or a…
stat.ML2021★ 8 cited
Distributionally Robust Learning
Ruidi Chen, Ioannis Ch. Paschalidis
This monograph develops a comprehensive statistical learning framework that is robust to (distributional) perturbations in the data using Distributionally Robust Optimization (DRO)…