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cs.LG2017★ 3 cited
Extreme Dimension Reduction for Handling Covariate Shift
Fulton Wang, Cynthia Rudin
In the covariate shift learning scenario, the training and test covariate distributions differ, so that a predictor's average loss over the training and test distributions also dif…
cs.LG2017★ 9 cited
An Optimization Approach to Learning Falling Rule Lists
Chaofan Chen, Cynthia Rudin
A falling rule list is a probabilistic decision list for binary classification, consisting of a series of if-then rules with antecedents in the if clauses and probabilities of the…