Robust Propensity Score Computation Method based on Machine Learning with Label-corrupted Data

no code implementations • 9 Jan 2018 • Chen Wang, Suzhen Wang, Fuyan Shi, Zaixiang Wang

The experimental results illustrate that xgboost propensity scores computing with the data processed by our method could outperform the same method with original data, and the advantages of our method increases as we add some artificial corruptions to the dataset.

BIG-bench Machine Learning Clustering