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- Enlu Zhou
Enlu Zhou and Di Wu, “Simulation Optimization under Input Model Uncertainty”, Advances in Modeling and Simulation: Seminal Research from 50 Years of Winter Simulation Conferences, Springer, 2017 Editors: Andreas Tolk, John Fowler, Guodong Shao, and Enver Yucesan
- Enlu Zhou - Google Scholar
Do unexpected panic attacks occur spontaneously? Optimization, Control, and Applications of Stochastic Systems: In Honor of …
- Analyzing and provably improving fixed budget ranking and selection . . .
View a PDF of the paper titled Analyzing and provably improving fixed budget ranking and selection algorithms, by Di Wu and Enlu Zhou
- Enlu ZHOU | Georgia Institute of Technology, Georgia | GT | School of . . .
Enlu ZHOU | Cited by 963 | of Georgia Institute of Technology, Georgia (GT) | Read 98 publications | Contact Enlu ZHOU
- Enlu Zhou - H. Milton Stewart School of Industrial and Systems Engineering
Enlu Zhou is a Fouts Family Professor in the H Milton Stewart School of Industrial and Systems Engineering at Georgia Tech Her research interests include simulation, stochastic optimization, stochastic control, and machine learning, with applications in robotics, financial engineering, and systems biology
- Enlu Zhou - dblp
Di Wu, Enlu Zhou: Fixed Confidence Ranking and Selection Under Input Uncertainty WSC 2019: 3717-3727
- Solving Bayesian risk optimization via nested stochastic gradient . . .
In this article, we aim to solve Bayesian Risk Optimization (BRO), which is a recently proposed framework that formulates simulation optimization under input uncertainty In order to efficiently solve the BRO problem, we derive nested stochastic gradient estimators and propose corresponding stochastic approximation algorithms
- Prof. Enlu Zhou-清华大学现代管理研究中心
Enlu Zhou is a Professor in the H Milton Stewart School of Industrial Systems Engineering at Georgia Institute of Technology She received the B S degree with highest honors in electrical
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