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stat.ML2014
Generalization Bounds for Learning with Linear, Polygonal, Quadratic and Conic Side Knowledge
Theja Tulabandhula, Cynthia Rudin
In this paper, we consider a supervised learning setting where side knowledge is provided about the labels of unlabeled examples. The side knowledge has the effect of reducing the…
stat.ML2014★ 3 cited
Box Drawings for Learning with Imbalanced Data
Siong Thye Goh, Cynthia Rudin
The vast majority of real world classification problems are imbalanced, meaning there are far fewer data from the class of interest (the positive class) than from other classes. We…