Enlu Zhou - RankMe

102 papers A* 8A 3C 2Misc 33Journal 52Unranked 3

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Curiosity is Knowledge: Self-Consistent Learning and No-Regret Optimization with Active Inference. CoRR Yingke Li, Anjali Parashar, Enlu Zhou, Chuchu Fan
2026	J	`jnl`	Pragmatic Curiosity: A Hybrid Learning-Optimization Paradigm via Active Inference. CoRR Yingke Li, Anjali Parashar, Enlu Zhou, Chuchu Fan
2025	A*	`conf`	Approximate Bilevel Difference Convex Programming for Bayesian Risk Markov Decision Processes. AAAI Yifan Lin, Enlu Zhou
2025	J	`jnl`	Bayesian Risk-Sensitive Policy Optimization For MDPs With General Loss Functions. CoRR Xiaoshuang Wang, Yifan Lin, Enlu Zhou
2025	J	`jnl`	Mori-zwanzig approach for belief abstraction with application to belief space planning. Auton. Robots Mengxue Hou, Tony X. Lin, Enlu Zhou, Fumin Zhang
2025	J	`jnl`	Online Bayesian Risk-Averse Reinforcement Learning. CoRR Yuhao Wang, Enlu Zhou
2025	J	`jnl`	Optimal Computing Budget Allocation for Data-Driven Ranking and Selection. INFORMS J. Optim. Yuhao Wang, Enlu Zhou
2025	J	`jnl`	Ranking and Selection with Simultaneous Input Data Collection. CoRR Yuhao Wang, Enlu Zhou
2025	J	`jnl`	Reusing Historical Trajectories in Natural Policy Gradient via Importance Sampling: Convergence and Convergence Rate. Oper. Res. Yifan Lin, Yuhao Wang, Enlu Zhou
2024	J	`jnl`	A Distributed Bayesian Data Fusion Algorithm With Uniform Consistency. IEEE Trans. Autom. Control. Yingke Li, Enlu Zhou, Fumin Zhang
2024	J	`jnl`	Bayesian Stochastic Gradient Descent for Stochastic Optimization with Streaming Input Data. SIAM J. Optim. Tianyi Liu, Yifan Lin, Enlu Zhou
2024	J	`jnl`	Contextual Ranking and Selection with Gaussian Processes and Optimal Computing Budget Allocation. ACM Trans. Model. Comput. Simul. Sait Cakmak, Yuhao Wang, Siyang Gao, Enlu Zhou
2024	J	`jnl`	Data-Driven Ranking and Selection Under Input Uncertainty. Oper. Res. Di Wu, Yuhao Wang, Enlu Zhou
2024	Misc	`conf`	Data-Driven Simulation Optimization in the Age of Digital Twins: Challenges and Developments. WSC Enlu Zhou
2024	—	`conf`	Data-driven Simulation Optimization in the Age of Digital Twins. SIGSIM-PADS Enlu Zhou
2024	J	`jnl`	Dynamic event-triggered integrated task and motion planning for process-aware source seeking. Auton. Robots Yingke Li, Mengxue Hou, Enlu Zhou, Fumin Zhang
2024	J	`jnl`	Reusing Historical Trajectories in Natural Policy Gradient via Importance Sampling: Convergence and Convergence Rate. CoRR Yifan Lin, Yuhao Wang, Enlu Zhou
2024	Misc	`conf`	Selection of the Best System With an Optimized Continuous Variable. WSC Yuhao Wang, Seong-Hee Kim, Enlu Zhou
2023	J	`jnl`	Approximate Bilevel Difference Convex Programming for Bayesian Risk Markov Decision Processes. CoRR Yifan Lin, Enlu Zhou
2023	J	`jnl`	Asymptotically Optimal Sampling Policy for Selecting Top- INFORMS J. Comput. Gongbo Zhang, Yijie Peng, Jianghua Zhang, Enlu Zhou
2023	J	`jnl`	Bayesian Distributionally Robust Optimization. SIAM J. Optim. Alexander Shapiro, Enlu Zhou, Yifan Lin
2023	A*	`conf`	Bayesian Risk-Averse Q-Learning with Streaming Observations. NeurIPS Yuhao Wang, Enlu Zhou
2023	J	`jnl`	Bayesian Risk-Averse Q-Learning with Streaming Observations. CoRR Yuhao Wang, Enlu Zhou
2023	A	`conf`	Cognition Difference-Based Dynamic Trust Network for Distributed Bayesian Data Fusion. IROS Yingke Li, Ziqiao Zhang, Junkai Wang, Huibo Zhang, Enlu Zhou, Fumin Zhang
2023	Misc	`conf`	Input Data Collection Versus Simulation: Simultaneous Resource Allocation. WSC Yuhao Wang, Enlu Zhou
2023	C	`conf`	Integrated Task and Motion Planning for Process-aware Source Seeking. ACC Yingke Li, Mengxue Hou, Enlu Zhou, Fumin Zhang
2023	Misc	`conf`	Reusing Historical Observations in Natural Policy Gradient. WSC Yifan Lin, Enlu Zhou
2022	J	`jnl`	Bayesian Learning Model Predictive Control for Process-Aware Source Seeking. IEEE Control. Syst. Lett. Yingke Li, Tianyi Liu, Enlu Zhou, Fumin Zhang
2022	A*	`conf`	Bayesian Risk Markov Decision Processes. NeurIPS Yifan Lin, Yuxuan Ren, Enlu Zhou
2022	Misc	`conf`	Fixed Budget Ranking and Selection with Streaming Input Data. WSC Yuhao Wang, Enlu Zhou
2022	A	`conf`	Noise Regularizes Over-parameterized Rank One Matrix Recovery, Provably. AISTATS Tianyi Liu, Yan Li, Enlu Zhou, Tuo Zhao
2022	J	`jnl`	Noise Regularizes Over-parameterized Rank One Matrix Recovery, Provably. CoRR Tianyi Liu, Yan Li, Enlu Zhou, Tuo Zhao
2022	C	`conf`	Risk-Aware Model Predictive Control Enabled by Bayesian Learning. ACC Yingke Li, Yifan Lin, Enlu Zhou, Fumin Zhang
2022	J	`jnl`	Risk-averse Contextual Multi-armed Bandit Problem with Linear Payoffs. CoRR Yifan Lin, Yuhao Wang, Enlu Zhou
2022	A*	`conf`	Robust Multi-Objective Bayesian Optimization Under Input Noise. ICML Samuel Daulton, Sait Cakmak, Maximilian Balandat, Michael A. Osborne, Enlu Zhou, Eytan Bakshy
2022	J	`jnl`	Robust Multi-Objective Bayesian Optimization Under Input Noise. CoRR Samuel Daulton, Sait Cakmak, Maximilian Balandat, Michael A. Osborne, Enlu Zhou, Eytan Bakshy
2021	Misc	`conf`	A Bayesian Approach to Online Simulation Optimization with Streaming Input Data. WSC Tianyi Liu, Yifan Lin, Enlu Zhou
2021	J	`jnl`	A Bayesian Risk Approach to MDPs with Parameter Uncertainty. CoRR Yifan Lin, Yuxuan Ren, Enlu Zhou
2021	Misc	`conf`	Contextual Ranking and Selection with Gaussian Processes. WSC Sait Cakmak, Enlu Zhou, Siyang Gao
2021	Misc	`conf`	Dynamic Sampling Policy For Subset Selection. WSC Gongbo Zhang, Yijie Peng, Jianghua Zhang, Enlu Zhou
2021	A	`conf`	Noisy Gradient Descent Converges to Flat Minima for Nonconvex Matrix Factorization. AISTATS Tianyi Liu, Yan Li, Song Wei, Enlu Zhou, Tuo Zhao
2021	J	`jnl`	Noisy Gradient Descent Converges to Flat Minima for Nonconvex Matrix Factorization. CoRR Tianyi Liu, Yan Li, Song Wei, Enlu Zhou, Tuo Zhao
2021	J	`jnl`	Solving Bayesian risk optimization via nested stochastic gradient estimation. IISE Trans. Sait Cakmak, Di Wu, Enlu Zhou
2020	Misc	`conf`	A Nested Simulation Optimization Approach for Portfolio Selection. WSC Yifan Lin, Enlu Zhou, Aly Megahed
2020	A*	`conf`	Bayesian Optimization of Risk Measures. NeurIPS Sait Cakmak, Raul Astudillo, Peter I. Frazier, Enlu Zhou
2020	J	`jnl`	Bayesian Optimization of Risk Measures. CoRR Sait Cakmak, Raul Astudillo, Peter I. Frazier, Enlu Zhou
2020	J	`jnl`	Domination Measure: A New Metric for Solving Multiobjective Optimization. INFORMS J. Comput. Joshua Q. Hale, Helin Zhu, Enlu Zhou
2020	J	`jnl`	Risk Quantification in Stochastic Simulation under Input Uncertainty. ACM Trans. Model. Comput. Simul. Helin Zhu, Tianyi Liu, Enlu Zhou
2020	Misc	`conf`	Simulation Optimization by Reusing Past Replications: Don't Be Afraid of Dependence. WSC Tianyi Liu, Enlu Zhou
2019	Misc	`conf`	Fixed Confidence Ranking and Selection Under Input Uncertainty. WSC Di Wu, Enlu Zhou
2019	A*	`conf`	Toward Understanding the Importance of Noise in Training Neural Networks. ICML Mo Zhou, Tianyi Liu, Yan Li, Dachao Lin, Enlu Zhou, Tuo Zhao
2019	J	`jnl`	Towards Understanding the Importance of Noise in Training Neural Networks. CoRR Mo Zhou, Tianyi Liu, Yan Li, Dachao Lin, Enlu Zhou, Tuo Zhao
2019	A*	`conf`	Towards Understanding the Importance of Shortcut Connections in Residual Networks. NeurIPS Tianyi Liu, Minshuo Chen, Mo Zhou, Simon S. Du, Enlu Zhou, Tuo Zhao
2019	J	`jnl`	Towards Understanding the Importance of Shortcut Connections in Residual Networks. CoRR Tianyi Liu, Minshuo Chen, Mo Zhou, Simon S. Du, Enlu Zhou, Tuo Zhao
2018	J	`jnl`	A Bayesian Risk Approach to Data-driven Stochastic Optimization: Formulations and Asymptotics. SIAM J. Optim. Di Wu, Helin Zhu, Enlu Zhou
2018	J	`jnl`	Analyzing and provably improving fixed budget ranking and selection algorithms. CoRR Di Wu, Enlu Zhou
2018	J	`jnl`	Experimental design and model reduction in systems biology. Quant. Biol. Jenny Jeong, Qinwei Zhuang, Mark K. Transtrum, Enlu Zhou, Peng Qiu
2018	J	`jnl`	Gradient-Based Adaptive Stochastic Search for Simulation Optimization Over Continuous Space. INFORMS J. Comput. Enlu Zhou, Shalabh Bhatnagar
2018	Misc	`conf`	Online Quantification of input uncertainty for parametric Models. WSC Enlu Zhou, Tianyi Liu
2018	Misc	`conf`	Provably Improving the Optimal Computing Budget Allocation Algorithm. WSC Di Wu, Enlu Zhou
2018	J	`jnl`	Simulation optimization of risk measures with adaptive risk levels. J. Glob. Optim. Helin Zhu, Joshua Q. Hale, Enlu Zhou
2018	J	`jnl`	Solving the Dual Problems of Dynamic Programs via Regression. IEEE Trans. Autom. Control. Helin Zhu, Fan Ye, Enlu Zhou
2018	J	`jnl`	Toward Deeper Understanding of Nonconvex Stochastic Optimization with Momentum using Diffusion Approximations. CoRR Tianyi Liu, Zhehui Chen, Enlu Zhou, Tuo Zhao
2018	A*	`conf`	Towards Understanding Acceleration Tradeoff between Momentum and Asynchrony in Nonconvex Stochastic Optimization. NeurIPS Tianyi Liu, Shiyang Li, Jianping Shi, Enlu Zhou, Tuo Zhao
2018	J	`jnl`	Towards Understanding Acceleration Tradeoff between Momentum and Asynchrony in Nonconvex Stochastic Optimization. CoRR Tianyi Liu, Shiyang Li, Jianping Shi, Enlu Zhou, Tuo Zhao
2018	J	`jnl`	Weakly Coupled Dynamic Program: Information and Lagrangian Relaxations. IEEE Trans. Autom. Control. Fan Ye, Helin Zhu, Enlu Zhou
2017	J	`jnl`	A Lagrangian search method for the P-median problem. J. Glob. Optim. Joshua Q. Hale, Enlu Zhou, Jiming Peng
2017	Misc	`conf`	Ranking and selection under input uncertainty: A budget allocation formulation. WSC Di Wu, Enlu Zhou
2017	J	`jnl`	Robust ranking and selection with optimal computing budget allocation. Autom. Siyang Gao, Hui Xiao, Enlu Zhou, Weiwei Chen
2017	J	`jnl`	The empirical likelihood approach to quantifying uncertainty in sample average approximation. Oper. Res. Lett. Henry Lam, Enlu Zhou
2016	Misc	`conf`	Optimal computing budget allocation with input uncertainty. WSC Siyang Gao, Hui Xiao, Enlu Zhou, Weiwei Chen
2016	Misc	`conf`	Optimizing Conditional Value-at-Risk via gradient-based adaptive stochastic search. WSC Helin Zhu, Joshua Q. Hale, Enlu Zhou
2016	Misc	`conf`	Preface. WSC Theresa Roeder, Peter I. Frazier, Roberto Szechtman, Enlu Zhou
2015	Misc	`conf`	A model-based approach to multi-objective optimization. WSC Joshua Q. Hale, Enlu Zhou
2015	Misc	`conf`	A sequential experiment design for input uncertainty quantification in stochastic simulation. WSC Yuan Yi, Wei Xie, Enlu Zhou
2015	Misc	`conf`	Estimation of conditional value-at-risk for input uncertainty with budget allocation. WSC Helin Zhu, Enlu Zhou
2015	J	`jnl`	Information Relaxation and Dual Formulation of Controlled Markov Diffusions. IEEE Trans. Autom. Control. Fan Ye, Enlu Zhou
2015	J	`jnl`	Population model-based optimization. J. Glob. Optim. Xi Chen, Enlu Zhou
2015	Misc	`conf`	Quantifying uncertainty in sample average approximation. WSC Henry Lam, Enlu Zhou
2015	Misc	`conf`	Simulation optimization when facing input uncertainty. WSC Enlu Zhou, Wei Xie
2014	Misc	`conf`	An iterative algorithm for sampling from manifolds. WSC Chang-Han Rhee, Enlu Zhou, Peng Qiu
2014	J	`jnl`	Gradient-Based Adaptive Stochastic Search for Non-Differentiable Optimization. IEEE Trans. Autom. Control. Enlu Zhou, Jiaqiao Hu
2014	J	`jnl`	Model-Based Annealing Random Search with Stochastic Averaging. ACM Trans. Model. Comput. Simul. Jiaqiao Hu, Enlu Zhou, Qi Fan
2014	J	`jnl`	Particle Filtering Framework for a Class of Randomized Optimization Algorithms. IEEE Trans. Autom. Control. Enlu Zhou, Michael C. Fu, Steven I. Marcus
2014	Misc	`conf`	Simulation optimization via gradient-based stochastic search. WSC Enlu Zhou, Shalabh Bhatnagar, Xi Chen
2013	J	`jnl`	Optimal Stopping Under Partial Observation: Near-Value Iteration. IEEE Trans. Autom. Control. Enlu Zhou
2013	J	`jnl`	Optimal Stopping of Partially Observable Markov Processes: A Filtering-Based Duality Approach. IEEE Trans. Autom. Control. Fan Ye, Enlu Zhou
2013	Misc	`conf`	Population model-based optimization with sequential Monte Carlo. WSC Xi Chen, Enlu Zhou
2013	J	`jnl`	Sequential Monte Carlo simulated annealing. J. Glob. Optim. Enlu Zhou, Xi Chen
2013	Misc	`conf`	True martingales for upper bounds on Bermudan option prices under jump-diffusion processes. WSC Helin Zhu, Fan Ye, Enlu Zhou
2012	Misc	`conf`	Combining gradient-based optimization with stochastic search. WSC Enlu Zhou, Jiaqiao Hu
2012	J	`jnl`	Efficient Selection of a Set of Good Enough Designs With Complexity Preference. IEEE Trans Autom. Sci. Eng. Shen Yan, Enlu Zhou, Chun-Hung Chen
2012	—	`conf`	Parameterized penalties in the dual representation of Markov decision processes. CDC Fan Ye, Enlu Zhou
2011	Misc	`conf`	Pricing American options under partial observation of stochastic volatility. WSC Fan Ye, Enlu Zhou
2010	Misc	`conf`	A new population-based simulated annealing algorithm. WSC Enlu Zhou, Xi Chen
2010	Misc	`conf`	Efficient simulation budget allocation for selecting the best set of simplest good enough designs. WSC Shen Yan, Enlu Zhou, Chun-Hung Chen
2010	Misc	`conf`	Simulation method for solving hybrid influence diagrams in decision making. WSC Xi Chen, Enlu Zhou
2010	J	`jnl`	Solving Continuous-State POMDPs via Density Projection. IEEE Trans. Autom. Control. Enlu Zhou, Michael C. Fu, Steven I. Marcus
2009	Misc	`conf`	A Numerical Method for Financial Decision Problems under Stochastic Volatility. WSC Enlu Zhou, Lin Kun, Michael C. Fu, Steven I. Marcus
2009	—	`—`	Particle Filtering for Stochastic Control and Global Optimization. Enlu Zhou
2008	—	`conf`	A density projection approach to dimension reduction for continuous-state POMDPs. CDC Enlu Zhou, Michael C. Fu, Steven I. Marcus
2008	Misc	`conf`	A particle filtering framework for randomized optimization algorithms. WSC Enlu Zhou, Michael C. Fu, Steven I. Marcus