"Solving L1-regularized SVMs and Related Linear Programs: Revisiting the Effectiveness of Column and Constraint Generation."

Dedieu, Antoine, Rahul Mazumder, and Haoyue Wang. Journal of Machine Learning Research Vol. 23, No. 164 (2022): 1-41. arXiv Preprint.

"DSelect-k: Differentiable Selection in the Mixture of Experts with Applications to Multi-Task Learning."

Hussein Hazimeh, Zhe Zhao, Aakanksha Chowdhery, Maheswaran Sathiamoorthy, Yihua Chen, Rahul Mazumder, Lichan Hong, and Ed Chi. In Proceedings of the 35th Conference on Neural Information Processing Systems, December 2021.

"Newer is Not Always Better: Rethinking Transferability Metrics, Their Peculiarities, Stability and Performance."

Shibal Ibrahim, Natalia Ponomareva, and Rahul Mazumder. In NeurIPS 2021 Workshop on Distribution Shifts: Connecting Methods and Applications, October 2021.

"Sparse Regression at Scale: Branch-and-Bound rooted in First-Order Optimization."

Hazimeh, Hussein, Rahul Mazumder, and Ali Saab. Mathematical Programming Vol. 196, No. 1-2 (2021): 347-388.

"Analysis of Correlations between Local Geographic Atrophy Growth Rates and Local OCT Angiography-measured Choriocapillaris Flow Deficits."

Moult, Eric M., Yingying Shi, Qinqin Zhang, Liang Wang, Rahul Mazumder et al. Biomedical Optics Express Vol. 12, No. 7 (2021): 4573-4595.

"Learning Sparse Classifiers: Continuous and Mixed Integer Optimization Perspectives."

Dedieu, Antoine, Hussein Hazimeh, and Rahul Mazumder. Journal of Machine Learning Research Vol. 22, (2021).