Research
IEOR researchers investigate the latest mathematical tools, approaches, and methodologies to make new theoretical discoveries and innovations that touch nearly every industry, making them more efficient and profitable in areas such as supply chain, logistics, manufacturing, data science, energy systems, robotics, and management.
Selected Publications
Role of Sparsity and Structure in the Optimization Landscape of Non-convex Matrix Sensing
Igor Molybog, Somayeh Sojoudi, and Javad Lavaei, Role of Sparsity and Structure in the Optimization Landscape of Non-convex Matrix Sensing, to appear in Mathematical Programming, 2020.
Estimation and Inference for Non-Stationary Arrival Models with a Linear Trend
P. W. Glynn and Z. Zheng, “Estimation and Inference for Non-Stationary Arrival Models with a Linear Trend,” 2019 Winter Simulation Conference (WSC), National Harbor, MD, USA, 2019, pp. 3764-3773, doi: 10.1109/WSC40007.2019.9004779.
Heterogeneous Assets Market Design
Y. An and Z. Zheng, “Heterogeneous Assets Market Design,” 2019 Winter Simulation Conference (WSC), National Harbor, MD, USA, 2019, pp. 974-983, doi: 10.1109/WSC40007.2019.9004708.
Heterogeneous Assets Market Design
Y. An and Z. Zheng, “Heterogeneous Assets Market Design,” 2019 Winter Simulation Conference (WSC), National Harbor, MD, USA, 2019, pp. 974-983, doi: 10.1109/WSC40007.2019.9004708.
New Methods for Regularization Path Optimization via Differential Equations
Heyuan Liu, Paul Grigas. “New Methods for Regularization Path Optimization via Differential Equations“. NeurIPS 2019 Workshop on Beyond First Order Methods in Machine Learning.