受强制性开放获取政策约束的文章 - Enlu Zhou了解详情
无法在其他位置公开访问的文章：9 篇
Optimal computing budget allocation with input uncertainty
S Gao, H Xiao, E Zhou, W Chen
2016 Winter Simulation Conference (WSC), 839-846, 2016
强制性开放获取政策： US National Science Foundation
Gradient-based adaptive stochastic search for simulation optimization over continuous space
E Zhou, S Bhatnagar
INFORMS Journal on Computing 30 (1), 154-167, 2017
强制性开放获取政策： US National Science Foundation, US Department of Defense, Department of …
Discrete optimization via gradient-based adaptive stochastic search methods
X Chen, E Zhou, J Hu
IISE Transactions 50 (9), 789-805, 2018
强制性开放获取政策： US National Science Foundation, US Department of Defense
Domination measure: a new metric for solving multiobjective optimization
JQ Hale, H Zhu, E Zhou
INFORMS Journal on Computing 32 (3), 565-581, 2020
强制性开放获取政策： US National Science Foundation, US Department of Defense
A Lagrangian search method for the P-median problem
JQ Hale, E Zhou, J Peng
Journal of Global Optimization 69, 137-156, 2017
强制性开放获取政策： US National Science Foundation, US Department of Defense
Optimizing conditional value-at-risk via gradient-based adaptive stochastic search
H Zhu, J Hale, E Zhou
2016 Winter Simulation Conference (WSC), 726-737, 2016
强制性开放获取政策： US National Science Foundation
Input Data Collection Versus Simulation: Simultaneous Resource Allocation
Y Wang, E Zhou
2023 Winter Simulation Conference (WSC), 3657-3668, 2023
强制性开放获取政策： US National Science Foundation, US Department of Defense
Reusing Historical Observations in Natural Policy Gradient
Y Lin, E Zhou
2023 Winter Simulation Conference (WSC), 3071-3081, 2023
强制性开放获取政策： US National Science Foundation, US Department of Defense
An Efficient Regression Approach to Solving the Dual Problems of Dynamic Programs
H Zhu, F Ye, E Zhou
IFAC-PapersOnLine 50 (1), 6140-6147, 2017
强制性开放获取政策： US National Science Foundation, US Department of Defense
可在其他位置公开访问的文章：30 篇
Do unexpected panic attacks occur spontaneously?
AE Meuret, D Rosenfield, FH Wilhelm, E Zhou, A Conrad, T Ritz, WT Roth
Biological psychiatry 70 (10), 985-991, 2011
强制性开放获取政策： US National Institutes of Health
Toward understanding the importance of noise in training neural networks
M Zhou, T Liu, Y Li, D Lin, E Zhou, T Zhao
International Conference on Machine Learning, 7594-7602, 2019
强制性开放获取政策： US National Science Foundation
Robust ranking and selection with optimal computing budget allocation
S Gao, H Xiao, E Zhou, W Chen
Automatica 81, 30-36, 2017
强制性开放获取政策： US National Science Foundation, US Department of Defense, 国家自然科学基金委 …
The empirical likelihood approach to quantifying uncertainty in sample average approximation
H Lam, E Zhou
Operations Research Letters 45 (4), 301-307, 2017
强制性开放获取政策： US National Science Foundation, US Department of Defense
Bayesian optimization of risk measures
S Cakmak, R Astudillo Marban, P Frazier, E Zhou
Advances in Neural Information Processing Systems 33, 20130-20141, 2020
强制性开放获取政策： US National Science Foundation, US Department of Defense
Change point analysis for longitudinal physiological data: detection of cardio-respiratory changes preceding panic attacks
D Rosenfield, E Zhou, FH Wilhelm, A Conrad, WT Roth, AE Meuret
Biological psychology 84 (1), 112-120, 2010
强制性开放获取政策： US National Institutes of Health
A Bayesian risk approach to data-driven stochastic optimization: Formulations and asymptotics
D Wu, H Zhu, E Zhou
SIAM Journal on Optimization 28 (2), 1588-1612, 2018
强制性开放获取政策： US National Science Foundation, US Department of Defense
Risk quantification in stochastic simulation under input uncertainty
H Zhu, T Liu, E Zhou
ACM Transactions on Modeling and Computer Simulation (TOMACS) 30 (1), 1-24, 2020
强制性开放获取政策： US National Science Foundation, US Department of Defense
Robust multi-objective bayesian optimization under input noise
S Daulton, S Cakmak, M Balandat, MA Osborne, E Zhou, E Bakshy
International Conference on Machine Learning, 4831-4866, 2022
强制性开放获取政策： US Department of Defense
Efficient selection of a set of good enough designs with complexity preference
S Yan, E Zhou, CH Chen
IEEE Transactions on Automation Science and Engineering 9 (3), 596-606, 2012
强制性开放获取政策： US National Institutes of Health
Weakly coupled dynamic program: Information and lagrangian relaxations
F Ye, H Zhu, E Zhou
IEEE Transactions on Automatic Control 63 (3), 698-713, 2017
强制性开放获取政策： US National Science Foundation, US Department of Defense
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