"Dyn-GWN: Time-series Forecasting using Time-varying Graphs with Applications to Finance and Traffic Prediction."

Shibal Ibrahim, Max Tell, and Rahul Mazumder. In Proceedings of the Fourth ACM International Conference on AI in Finance, Brooklyn, NY: November 2023.

"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.

"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.