"Optimizing Scalable Targeted Marketing Policies with Constraints."

Lu, Haihao, Duncan Simester, and Yuting Zhu, MIT Sloan Working Paper 7101-23. Cambridge, MA: MIT Sloan School of Management, January 2024. arXiv Preprint.

"Infeasibility Detection with Primal-dual Hybrid Gradient for Large-scale Linear Programming."

Applegate, David, Mateo Díaz, Haihao Lu, and Miles Lubin. SIAM Journal on Optimization Vol. 34, No. 1 (2024).

"Nearly Optimal Linear Convergence of Stochastic Primal-Dual Methods for Linear Programming."

Lu, Haihao and Jinwen Yang, MIT Sloan Working Paper 7127-21. Cambridge, MA: MIT Sloan School of Management, December 2023. arXiv Preprint.

"On the Geometry and Refined Rate of Primal-dual Hybrid Gradient for Linear Programming."

Lu, Haiha, and Jinwen Yang, MIT Sloan Working Paper 7105-23. Cambridge, MA: MIT Sloan School of Management, December 2023. arXiv Preprint.

"Analysis of Dual-based PID Controllers Through Convolutional Mirror Descent."

Balseiro, Santiago R., Haihao Lu, Vahab Mirrokni, and Balasubramanian Sivan, MIT Sloan Working Paper 7110-22. Cambridge, MA: MIT Sloan School of Management, December 2023. arXiv Preprint.

"A Field Guide for Pacing Budget and ROS Constraints."

Balseiro, Santiago R., Kshipra Bhawalkar, Zhe Feng, Haihao Lu, Vahab Mirrokni, Balasubramanian Sivan, and Di Wang, MIT Sloan Working Paper 7107-23. Cambridge, MA: MIT Sloan School of Management, December 2023. arXiv Preprint.