"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.

"Fire: An Optimization Approach for Fast Interpretable Rule Extraction."

Brian Liu and Rahul Mazumder. In Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Long Beach, CA: August 2023. arXiv Preprint.

"Fast as CHITA: Neural Network Pruning with Combinatorial Optimization."

Riade Benbaki, Wenyu Chen, Xiang Meng, Hussein Hazimeh, Natalia Ponomareva, Zhe Zhao, and Rahul Mazumder. In Proceedings of the 40th International Conference on Machine Learning, Honolulu, HI: July 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.

"ForestPrune: Compact Depth-Pruned Tree Ensembles."

Brian Liu and Rahul Mazumder. In Proceedings of The 26th International Conference on Artificial Intelligence and Statistics, Valencia, Spain: April 2023. arXiv Preprint.

"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.