259 citations · 463 across the 39 of their papers we have counts for
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cs.LG2018
Learning under selective labels in the presence of expert consistency
Maria De-Arteaga, Artur Dubrawski, Alexandra Chouldechova
We explore the problem of learning under selective labels in the context of algorithm-assisted decision making. Selective labels is a pervasive selection bias problem that arises w…
cs.LG2018★ 5 cited
Novel Prediction Techniques Based on Clusterwise Linear Regression
Igor Gitman, Jieshi Chen, Eric Lei +1
In this paper we explore different regression models based on Clusterwise Linear Regression (CLR). CLR aims to find the partition of the data into clusters, such that linear re…