Outlier detection using distributionally robust optimization under the Wasserstein metric

By Ruidi Chen, Ioannis Ch. Paschalidis. 2017

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

1. Alexander Olshevsky
2. Wei Shi
3. Theodora S. Brisimi
4. Ioannis Ch. Paschalidis
5. Angelia Nedić
6. Ruidi Chen
7. Theofanie Mela
8. Guannan Qu

Citations in the corpus

• Federated learning of predictive models from federated Electronic Health Records (2018, background): “[6] Results in the literature suggest that sparse classifiers (i.e., those that rely on few features), have strong predictive power and generalize well out-of-sample,[7,8] providing at the same time interpretability in both models and results.”