Publications
Smoothing Property of Load Variation Promotes Finding Global Solutions of Time-Varying Optimal Power Flow
Julie Mulvaney-Kemp, Salar Fattahi, and Javad Lavaei, Smoothing Property of Load Variation Promotes Finding Global Solutions of Time-Varying Optimal Power Flow, conditionally accepted for IEEE Transactions on Control of Network Systems, 2020.
Coordinating Electric Vehicle Charging Station Installation between the Government and Automakers
Yu, Jiayi & Tang, Christopher & Li, Musen & Shen, Max. (2020). Coordinating Electric Vehicle Charging Station Installation between the Government and Automakers. SSRN Electronic Journal. 10.2139/ssrn.3561317.
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.
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].
An Optimally-Competitive Algorithm for Maximum Online Perfect Bipartite Matching with i.i.d. Arrivals
Minjun Chang, Dorit S. Hochbaum, Quico Spaen and Mark Velednitsky. An Optimally-Competitive Algorithm for Maximum Online Perfect Bipartite Matching with iid Arrivals. Theory of Computing Systems, 64 (2020) pp.645-661.