Enlu Zhou

ORCID

Publication Activity (10 Years)

Years Active: 2008-2024
Publications (10 Years): 60

Top Venues

WSC

CoRR

IEEE Trans. Autom. Control.

NeurIPS

University of Maryland, College Park, MD, USA (PHD)

Education History

University of Maryland, College Park, MD, USA

PHD

Publications

Yifan Lin, Yuhao Wang, Enlu Zhou
Reusing Historical Trajectories in Natural Policy Gradient via Importance Sampling: Convergence and Convergence Rate. CoRR (2024)
Enlu Zhou
Data-driven Simulation Optimization in the Age of Digital Twins. SIGSIM-PADS (2024)
Sait Cakmak, Yuhao Wang, Siyang Gao, Enlu Zhou
Contextual Ranking and Selection with Gaussian Processes and Optimal Computing Budget Allocation. ACM Trans. Model. Comput. Simul. 34 (2) (2024)
Di Wu, Yuhao Wang, Enlu Zhou
Data-Driven Ranking and Selection Under Input Uncertainty. Oper. Res. 72 (2) (2024)
Tianyi Liu, Yifan Lin, Enlu Zhou
Bayesian Stochastic Gradient Descent for Stochastic Optimization with Streaming Input Data. SIAM J. Optim. 34 (1) (2024)
Yuhao Wang, Enlu Zhou
Input Data Collection Versus Simulation: Simultaneous Resource Allocation. WSC (2023)
Yifan Lin, Enlu Zhou
Approximate Bilevel Difference Convex Programming for Bayesian Risk Markov Decision Processes. CoRR (2023)
Yingke Li, Mengxue Hou, Enlu Zhou, Fumin Zhang
Integrated Task and Motion Planning for Process-aware Source Seeking. ACC (2023)
Gongbo Zhang, Yijie Peng, Jianghua Zhang, Enlu Zhou
Alternatives. INFORMS J. Comput. 35 (6) (2023)
Yuhao Wang, Enlu Zhou
Bayesian Risk-Averse Q-Learning with Streaming Observations. NeurIPS (2023)
Alexander Shapiro, Enlu Zhou, Yifan Lin
Bayesian Distributionally Robust Optimization. SIAM J. Optim. 33 (2) (2023)
Yuhao Wang, Enlu Zhou
Bayesian Risk-Averse Q-Learning with Streaming Observations. CoRR (2023)
Yingke Li, Ziqiao Zhang, Junkai Wang, Huibo Zhang, Enlu Zhou, Fumin Zhang
Cognition Difference-Based Dynamic Trust Network for Distributed Bayesian Data Fusion. IROS (2023)
Yifan Lin, Enlu Zhou
Reusing Historical Observations in Natural Policy Gradient. WSC (2023)
Yuhao Wang, Enlu Zhou
Fixed Budget Ranking and Selection with Streaming Input Data. WSC (2022)
Tianyi Liu, Yan Li, Enlu Zhou, Tuo Zhao
Noise Regularizes Over-parameterized Rank One Matrix Recovery, Provably. AISTATS (2022)
Yifan Lin, Yuhao Wang, Enlu Zhou
Risk-averse Contextual Multi-armed Bandit Problem with Linear Payoffs. CoRR (2022)
Tianyi Liu, Yan Li, Enlu Zhou, Tuo Zhao
Noise Regularizes Over-parameterized Rank One Matrix Recovery, Provably. CoRR (2022)
Yingke Li, Yifan Lin, Enlu Zhou, Fumin Zhang
Risk-Aware Model Predictive Control Enabled by Bayesian Learning. ACC (2022)
Yingke Li, Tianyi Liu, Enlu Zhou, Fumin Zhang
Bayesian Learning Model Predictive Control for Process-Aware Source Seeking. IEEE Control. Syst. Lett. 6 (2022)
Yifan Lin, Yuxuan Ren, Enlu Zhou
Bayesian Risk Markov Decision Processes. NeurIPS (2022)
Samuel Daulton, Sait Cakmak, Maximilian Balandat, Michael A. Osborne, Enlu Zhou, Eytan Bakshy
Robust Multi-Objective Bayesian Optimization Under Input Noise. ICML (2022)
Samuel Daulton, Sait Cakmak, Maximilian Balandat, Michael A. Osborne, Enlu Zhou, Eytan Bakshy
Robust Multi-Objective Bayesian Optimization Under Input Noise. CoRR (2022)
Sait Cakmak, Di Wu, Enlu Zhou
Solving Bayesian risk optimization via nested stochastic gradient estimation. IISE Trans. 53 (10) (2021)
Tianyi Liu, Yifan Lin, Enlu Zhou
A Bayesian Approach to Online Simulation Optimization with Streaming Input Data. WSC (2021)
Sait Cakmak, Enlu Zhou, Siyang Gao
Contextual Ranking and Selection with Gaussian Processes. WSC (2021)
Gongbo Zhang, Yijie Peng, Jianghua Zhang, Enlu Zhou
Dynamic Sampling Policy For Subset Selection. WSC (2021)
Yifan Lin, Yuxuan Ren, Enlu Zhou
A Bayesian Risk Approach to MDPs with Parameter Uncertainty. CoRR (2021)
Tianyi Liu, Yan Li, Song Wei, Enlu Zhou, Tuo Zhao
Noisy Gradient Descent Converges to Flat Minima for Nonconvex Matrix Factorization. CoRR (2021)
Tianyi Liu, Yan Li, Song Wei, Enlu Zhou, Tuo Zhao
Noisy Gradient Descent Converges to Flat Minima for Nonconvex Matrix Factorization. AISTATS (2021)
Yifan Lin, Enlu Zhou, Aly Megahed
A Nested Simulation Optimization Approach for Portfolio Selection. WSC (2020)
Sait Cakmak, Raul Astudillo, Peter I. Frazier, Enlu Zhou
Bayesian Optimization of Risk Measures. NeurIPS (2020)
Tianyi Liu, Enlu Zhou
Simulation Optimization by Reusing Past Replications: Don't Be Afraid of Dependence. WSC (2020)
Sait Cakmak, Raul Astudillo, Peter I. Frazier, Enlu Zhou
Bayesian Optimization of Risk Measures. CoRR (2020)
Helin Zhu, Tianyi Liu, Enlu Zhou
Risk Quantification in Stochastic Simulation under Input Uncertainty. ACM Trans. Model. Comput. Simul. 30 (1) (2020)
Joshua Q. Hale, Helin Zhu, Enlu Zhou
Domination Measure: A New Metric for Solving Multiobjective Optimization. INFORMS J. Comput. 32 (3) (2020)
Di Wu, Enlu Zhou
Fixed Confidence Ranking and Selection Under Input Uncertainty. WSC (2019)
Mo Zhou, Tianyi Liu, Yan Li, Dachao Lin, Enlu Zhou, Tuo Zhao
Towards Understanding the Importance of Noise in Training Neural Networks. CoRR (2019)
Mo Zhou, Tianyi Liu, Yan Li, Dachao Lin, Enlu Zhou, Tuo Zhao
Toward Understanding the Importance of Noise in Training Neural Networks. ICML (2019)
Tianyi Liu, Minshuo Chen, Mo Zhou, Simon S. Du, Enlu Zhou, Tuo Zhao
Towards Understanding the Importance of Shortcut Connections in Residual Networks. NeurIPS (2019)
Tianyi Liu, Minshuo Chen, Mo Zhou, Simon S. Du, Enlu Zhou, Tuo Zhao
Towards Understanding the Importance of Shortcut Connections in Residual Networks. CoRR (2019)
Di Wu, Helin Zhu, Enlu Zhou
A Bayesian Risk Approach to Data-driven Stochastic Optimization: Formulations and Asymptotics. SIAM J. Optim. 28 (2) (2018)
Enlu Zhou, Tianyi Liu
Online Quantification of input uncertainty for parametric Models. WSC (2018)
Tianyi Liu, Shiyang Li, Jianping Shi, Enlu Zhou, Tuo Zhao
Towards Understanding Acceleration Tradeoff between Momentum and Asynchrony in Nonconvex Stochastic Optimization. NeurIPS (2018)
Tianyi Liu, Zhehui Chen, Enlu Zhou, Tuo Zhao
Toward Deeper Understanding of Nonconvex Stochastic Optimization with Momentum using Diffusion Approximations. CoRR (2018)
Enlu Zhou, Shalabh Bhatnagar
Gradient-Based Adaptive Stochastic Search for Simulation Optimization Over Continuous Space. INFORMS J. Comput. 30 (1) (2018)
Di Wu, Enlu Zhou
Provably Improving the Optimal Computing Budget Allocation Algorithm. WSC (2018)
Jenny Jeong, Qinwei Zhuang, Mark K. Transtrum, Enlu Zhou, Peng Qiu
Experimental design and model reduction in systems biology. Quant. Biol. 6 (4) (2018)
Helin Zhu, Joshua Q. Hale, Enlu Zhou
Simulation optimization of risk measures with adaptive risk levels. J. Glob. Optim. 70 (4) (2018)
Fan Ye, Helin Zhu, Enlu Zhou
Weakly Coupled Dynamic Program: Information and Lagrangian Relaxations. IEEE Trans. Autom. Control. 63 (3) (2018)
Helin Zhu, Fan Ye, Enlu Zhou
Solving the Dual Problems of Dynamic Programs via Regression. IEEE Trans. Autom. Control. 63 (5) (2018)
Tianyi Liu, Shiyang Li, Jianping Shi, Enlu Zhou, Tuo Zhao
Towards Understanding Acceleration Tradeoff between Momentum and Asynchrony in Nonconvex Stochastic Optimization. CoRR (2018)
Di Wu, Enlu Zhou
Analyzing and provably improving fixed budget ranking and selection algorithms. CoRR (2018)
Joshua Q. Hale, Enlu Zhou, Jiming Peng
A Lagrangian search method for the P-median problem. J. Glob. Optim. 69 (1) (2017)
Siyang Gao, Hui Xiao, Enlu Zhou, Weiwei Chen
Robust ranking and selection with optimal computing budget allocation. Autom. 81 (2017)
Di Wu, Enlu Zhou
Ranking and selection under input uncertainty: A budget allocation formulation. WSC (2017)
Henry Lam, Enlu Zhou
The empirical likelihood approach to quantifying uncertainty in sample average approximation. Oper. Res. Lett. 45 (4) (2017)
Theresa Roeder, Peter I. Frazier, Roberto Szechtman, Enlu Zhou
Preface. WSC (2016)
Siyang Gao, Hui Xiao, Enlu Zhou, Weiwei Chen
Optimal computing budget allocation with input uncertainty. WSC (2016)
Helin Zhu, Joshua Q. Hale, Enlu Zhou
Optimizing Conditional Value-at-Risk via gradient-based adaptive stochastic search. WSC (2016)
Fan Ye, Enlu Zhou
Information Relaxation and Dual Formulation of Controlled Markov Diffusions. IEEE Trans. Autom. Control. 60 (10) (2015)
Henry Lam, Enlu Zhou
Quantifying uncertainty in sample average approximation. WSC (2015)
Enlu Zhou, Wei Xie
Simulation optimization when facing input uncertainty. WSC (2015)
Yuan Yi, Wei Xie, Enlu Zhou
A sequential experiment design for input uncertainty quantification in stochastic simulation. WSC (2015)
Joshua Q. Hale, Enlu Zhou
A model-based approach to multi-objective optimization. WSC (2015)
Helin Zhu, Enlu Zhou
Estimation of conditional value-at-risk for input uncertainty with budget allocation. WSC (2015)
Xi Chen, Enlu Zhou
Population model-based optimization. J. Glob. Optim. 63 (1) (2015)
Chang-han Rhee, Enlu Zhou, Peng Qiu
An iterative algorithm for sampling from manifolds. WSC (2014)
Enlu Zhou, Shalabh Bhatnagar, Xi Chen
Simulation optimization via gradient-based stochastic search. WSC (2014)
Enlu Zhou, Jiaqiao Hu
Gradient-Based Adaptive Stochastic Search for Non-Differentiable Optimization. IEEE Trans. Autom. Control. 59 (7) (2014)
Enlu Zhou, Michael C. Fu, Steven I. Marcus
Particle Filtering Framework for a Class of Randomized Optimization Algorithms. IEEE Trans. Autom. Control. 59 (4) (2014)
Jiaqiao Hu, Enlu Zhou, Qi Fan
Model-Based Annealing Random Search with Stochastic Averaging. ACM Trans. Model. Comput. Simul. 24 (4) (2014)
Fan Ye, Enlu Zhou
Optimal Stopping of Partially Observable Markov Processes: A Filtering-Based Duality Approach. IEEE Trans. Autom. Control. 58 (10) (2013)
Enlu Zhou
Optimal Stopping Under Partial Observation: Near-Value Iteration. IEEE Trans. Autom. Control. 58 (2) (2013)
Enlu Zhou, Xi Chen
Sequential Monte Carlo simulated annealing. J. Glob. Optim. 55 (1) (2013)
Helin Zhu, Fan Ye, Enlu Zhou
True martingales for upper bounds on Bermudan option prices under jump-diffusion processes. WSC (2013)
Xi Chen, Enlu Zhou
Population model-based optimization with sequential Monte Carlo. WSC (2013)
Fan Ye, Enlu Zhou
Parameterized penalties in the dual representation of Markov decision processes. CDC (2012)
Enlu Zhou, Jiaqiao Hu
Combining gradient-based optimization with stochastic search. WSC (2012)
Shen Yan, Enlu Zhou, Chun-Hung Chen
Efficient Selection of a Set of Good Enough Designs With Complexity Preference. IEEE Trans Autom. Sci. Eng. 9 (3) (2012)
Fan Ye, Enlu Zhou
Pricing American options under partial observation of stochastic volatility. WSC (2011)
Enlu Zhou, Xi Chen
A new population-based simulated annealing algorithm. WSC (2010)
Xi Chen, Enlu Zhou
Simulation method for solving hybrid influence diagrams in decision making. WSC (2010)
Enlu Zhou, Michael C. Fu, Steven I. Marcus
Solving Continuous-State POMDPs via Density Projection. IEEE Trans. Autom. Control. 55 (5) (2010)
Shen Yan, Enlu Zhou, Chun-Hung Chen
Efficient simulation budget allocation for selecting the best set of simplest good enough designs. WSC (2010)
Enlu Zhou, Lin Kun, Michael C. Fu, Steven I. Marcus
A Numerical Method for Financial Decision Problems under Stochastic Volatility. WSC (2009)
Enlu Zhou, Michael C. Fu, Steven I. Marcus
A particle filtering framework for randomized optimization algorithms. WSC (2008)
Enlu Zhou, Michael C. Fu, Steven I. Marcus
A density projection approach to dimension reduction for continuous-state POMDPs. CDC (2008)

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Publication Activity (10 Years)

Top Topics

Top Venues

Enlu Zhou