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
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.
Deep Imitation Learning of Sequential Fabric Smoothing From an Algorithmic Supervisor
Deep Imitation Learning of Sequential Fabric Smoothing From an Algorithmic Supervisor. Daniel Seita, Aditya Ganapathi, Ryan Hoque, Minho Hwang, Edward Cen, Ajay Kumar Tanwani, Ashwin Balakrishna, Brijen Thananjeyan, Jeffrey Ichnowski, Nawid Jamali, Kastu Yamane, Soshi Iba, John Canny, Ken Goldberg.IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), Las Vegas, NV, USA, October 2020. [paper], [website].