"Dynamic Covariance Estimation under Structural Assumptions via a Joint Optimization Approach."

Wenyu Chen, Riade Benbaki, Yada Zhu, and Rahul Mazumder. In Proceedings of the Fourth ACM International Conference on AI in Finance, Brooklyn, NY: November 2023.

"Optimizing for Member Value in an Edge Building Marketplace."

Ayan Acharya, Siyuan Gao, Ankan Saha, Borja Ocejo, Kinjal Basu, Keerthi Selvaraj, Rahul Mazumder, Aman Gupta, and Parag Agrawal. In Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, Birmingham, UK: October 2023.

"COMET: Learning Cardinality Constrained Mixture of Experts with Trees and Local Search."

Shibal Ibrahim, Wenyu Chen, Hussein Hazimeh, Natalia Ponomareva, Zhe Zhao, and Rahul Mazumder. In Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Long Beach, CA: August 2023. arXiv Preprint.

"L0Learn: A Scalable Package for Sparse Learning using L0 Regularization."

Hazimeh, Hussein, Rahul Mazumder, and Tim Nonet. Journal of Machine Learning Research Vol. 24, No. 205 (2023): 1-8.

"Grouped Variable Selection with Discrete Optimization: Computational and Statistical Perspectives."

Hazimeh, Hussein, Rahul Mazumder, and Peter Radchenko. Annals of Statistics Vol. 51, No. 1 (2023): 1-32.

"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.