"Practical Large-Scale Linear Programming using Primal-dual Hybrid Gradient."

Applegate, David, Mateo Diaz, Oliver Hinder, Haihao Lu, Miles Lubin, Brendan O'Donoghue, and Warren Schudy. Proceedings of the 35th Conference on Neural Information Processing Systems (2021): 1-15.

"Regularized Online Allocation Problems: Fairness and Beyond."

Balseiro, Santiago R., Haihao Lu, Vahab Mirrokni, MIT Sloan Working Paper 7111-20. Cambridge, MA: MIT Sloan School of Management, November 2021. arXiv Preprint.

"Regularized Online Allocation Problems: Fairness and Beyond."

Balseiro, Santiago, Haihao Lu, and Vahab Mirrokni. Proceedings of the 38th International Conference on Machine Learning Vol. 139, (2021): 630-639.

"Generalized Stochastic Frank–Wolfe Algorithm with Stochastic 'Substitute' Gradient for Structured Convex Optimization."

Lu, Haihao and Robert M. Freund. Mathematical Programming Vol. 187, No. 1-2 (2021): 317-349. arXiv Preprint.

"Contextual Reserve Price Optimization in Auctions via Mixed Integer Programming."

Huchette, Joey, Haihao Lu, Hossein Esfandiari, and Vahab Mirrokni. Proceedings of the 34th Conference on Neural Information Processing Systems (2020): 1-11.

"Accelerating Gradient Boosting Machines."

Lu, Haihao, Sai Praneeth Karimireddy, Natalia Ponomareva, and Vahab Mirrokni. Proceedings of the 23rd International Conference on Artificial Intelligence and Statistics Vol. 108, (2020): 516-526.