Tao Yao, Ph.D.
Affiliations: | 2005 | Stanford University, Palo Alto, CA |
Area:
Operations Research, Finance, Industrial EngineeringGoogle:
"Tao Yao"Parents
Sign in to add mentorJohn P. Weyant | grad student | 2005 | Stanford | |
(R&D investment dynamics under uncertainty: Theory and application.) |
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Publications
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Liu H, Wang X, Yao T, et al. (2019) Sample Average Approximation with Sparsity-Inducing Penalty for High-Dimensional Stochastic Programming. Mathematical Programming. 78: 69-108 |
Liu H, Yao T, Li R, et al. (2017) Folded concave penalized sparse linear regression: sparsity, statistical performance, and algorithmic theory for local solutions. Mathematical Programming. 166: 207-240 |
Han K, Yao T, Jiang C, et al. (2017) Lagrangian-based Hydrodynamic Model for Traffic Data Fusion on Freeways Networks and Spatial Economics. 17: 1071-1094 |
Thorsen AH, Yao T. (2017) Robust inventory control under demand and lead time uncertainty Annals of Operations Research. 257: 207-236 |
Liu H, Yao T, Li R. (2016) GLOBAL SOLUTIONS TO FOLDED CONCAVE PENALIZED NONCONVEX LEARNING. Annals of Statistics. 44: 629-659 |
Wang Y, Liu H, Han K, et al. (2015) Day-to-day congestion pricing and network resilience Transportmetrica a: Transport Science. 11: 873-895 |
Liu H, Han K, Gayah VV, et al. (2015) Data-driven linear decision rule approach for distributionally robust optimization of on-line signal control Transportation Research Part C: Emerging Technologies. 59: 260-277 |
Han K, Sun Y, Liu H, et al. (2015) A bi-level model of dynamic traffic signal control with continuum approximation Transportation Research Part C: Emerging Technologies. 55: 409-431 |
Zhang B, Yao T, Friesz TL, et al. (2015) A tractable two-stage robust winner determination model for truckload service procurement via combinatorial auctions Transportation Research Part B: Methodological. 78: 16-31 |
Han K, Friesz TL, Yao T. (2014) A variational approach for continuous supply chain networks Siam Journal On Control and Optimization. 52: 663-686 |