"Learning Hierarchical Interactions at Scale: A Convex Optimization Approach."

Hussein Hazimeh and Rahul Mazumder. In 23rd International Conference on Artificial Intelligence and Statistics, 2020.

"Matrix Completion with Nonconvex Regularization: Spectral Operators and Scalable Algorithms."

Mazumder, Rahul, Diego Saldana, and Haolei Weng. Statistics and Computing Vol. 30, (2020): 1113–1138.

"The Tree Ensemble Layer: Differentiability Meets Conditional Computation."

Hussein Hazimeh, Natalia Ponomareva, Petros Mol, Zhenyu Tan and Rahul Mazumder. In Proceedings of the 37th International Conference on Machine Learning, 2020.

"Learning a Mixture of Gaussians via Mixed Integer Optimization."

Bandi, Hari, Dimitris Bertsimas, and Rahul Mazumder. INFORMS Journal on Optimization Vol. 1, No. 3 (2019): 221-240.

"A Computational Framework for Multivariate Convex Regression and its Variants."

Mazumder, Rahul, Arkopal Choudhury, Garud Iyengar, and Bodhisattva Sen. Journal of the American Statistical Association Vol. 114, No. 525 (2019): 318-331.

"Computation of the Maximum Likelihood Estimator in Low-rank Factor Analysis."

Khamaru, Koulik and Rahul Mazumder. Mathematical Programming No. 176 (2019): 279-310. arXiv Preprint.