"Linear Regression with Partially Mismatched Data: Local Search with Theoretical Guarantees."

Mazumder, Rahul and Haoyue Wang. Mathematical Programming Vol. 197, No. 2 (2023): 1265-1303.

"Subset Selection with Shrinkage: Sparse Linear Modeling when the SNR is Low."

Mazumder, Rahul, Peter Radchenko, and Antoine Dedieu. Operations Research Vol. 71, No. 1 (2023): 129-147. arXiv Preprint.

"A Light-speed Linear Program Solver for Personalized Recommendation with Diversity Constraints."

Haoyue Wang, Miao Cheng, Kinjal Basu, Aman Gupta, Keerthi Selvaraj, and Rahul Mazumder. In 2022 NeurIPS Optimization for Machine Learning Workshop (OPTML 22), New Orleans, LA: December 2022.

"Improved Deep Neural Network Generalization Using m-Sharpness-Aware Minimization."

Kayhan Behdin, Qingquan Song, Aman Gupta, David Durfee, Ayan Acharya, Sathiya Keerthi, and Rahul Mazumder. In OPT 2022: Optimization for Machine Learning (NeurIPS 2022 Workshop), New Orleans, LA: December 2022.

"Integration of Survival Data from Multiple Studies."

Ventz, Steffen, Rahul Mazumder, and Lorenzo Trippa. Biometrics Vol. 78, No. 4 (2022): 1365-1376.

"Network Pruning at Scale: A Discrete Optimization Approach."

Wenyu Chen, Riade Benbaki, Xiang Meng, and Rahul Mazumder. In 2022 NeurIPS Optimization for Machine Learning Workshop (OPTML 22), New Orleans, LA: December 2022.