- Boosting in Machine Learning
- Discrete Optimization
- Large-Scale Linear Programming
Ph.D., Operations Research, Rutgers University
November 2018 – present, Research Associate, Brookhaven National Laboratory
Selected Publications & Research Highlights
Ai Kagawa. The Rectangular Maximum Agreement Problem: Applications and Parallel Solution. PhD thesis, Rutgers University, 2018.
Jonathan Eckstein, Noam Goldberg, and Ai Kagawa. Rule-enhanced penalized regression by column generation using rectangular maximum agreement. In D. Precup and Y.W. Teh, editors, Proceedings of the 34th International Conference on Machine Learning, volume 70 of Proceedings of Machine Learning Research, pages 1059–1067, Sydney, Australia, 2017.