2016
Meta–Gradient Boosted Decision Tree Model for Weight and Target Learning
ICML 2016poster
Labeled training data is an essential part of any supervised machine learning framework. In practice, there is a trade-off between the quality of a label and its cost. In this paper, we consider a problem of learning to rank on a large-scale dataset with low-quality relevance labels aiming at maximi…