Robust Classification

By Dimitris J. Bertsimas, Jack Dunn, Colin Pawlowski, Ying Daisy Zhuo. 2019

107 citations recorded by the source corpus.

Subfields: Control and Systems Engineering, Statistics and Probability

How researchers see this paper

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

In Control and Systems Engineering

1. Joe Naoum-Sawaya
2. Lawrence Carin
3. Bissan Ghaddar
4. Claudio Gambella
5. Berk Ustun
6. Cynthia Rudin

In Statistics and Probability

1. Joe Naoum-Sawaya
2. Lawrence Carin
3. Bissan Ghaddar
4. Jianqiao Li
5. Sijia Wang
6. Claudio Gambella
7. Chunyuan Li
8. David M. Blei

Citations in the corpus

• GAN Memory with No Forgetting (2020, background): “Such a property can be used to deliver versatile data augmentation among different domains, which may, for example, benefit a downstream robust classification [61, 7].”
• Optimization Models for Machine Learning: A Survey (2019, methodology): “Such advances in the optimization literature are currently being investigated to improve over the standard approaches [28].”