"Knowledge Graph Guided Simultaneous Forecasting and Network Learning for Multivariate Financial Time Series."

Shibal Ibrahim, Wenyu Chen, Yada Zhu, Pin-Yu Chen, Yang Zhang, and Rahul Mazumder. In Proceedings of the Third ACM International Conference on AI in Finance, New York, NY: November 2022.

"Pushing the Limits of Fairness Impossibility: Who's the Fairest of Them All?"

Brian Hsu, Rahul Mazumder, Preetam Nandy, and Kinjal Basu. In Proceedings of the 36th Conference on Neural Information Processing Systems, New Orleans, LA: November 2022.

"Flexible Modeling and Multitask Learning using Differentiable Tree Ensembles."

Shibal Ibrahim, Hussein Hazimeh, and Rahul Mazumder. In Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC: August 2022. arXiv Preprint.

"Quant-BnB: A Scalable Branch-and-Bound Method for Optimal Decision Trees with Continuous Features."

Rahul Mazumder, Xiang Meng, and Haoyue Wang. In Proceedings of the 39th International Conference on Machine Learning, Baltimore, MD: July 2022. arXiv Preprint.

"Using L1-relaxation and Integer Programming to Obtain Dual Bounds for Sparse PCA."

Dey, Santanu, Rahul Mazumder, and Guanyi Wang. Operations Research Vol. 70, No. 3 (2022): 1914-1932.

"Frank-Wolfe Methods with an Unbounded Feasible Region and Applications to Structured Learning."

Wang, Haoyue, Haihao Lu, and Rahul Mazumder. SIAM Journal on Optimization Vol. 32, No. 4 (2022): 2938-2968.