• case-insensitive prefix search: default
  e.g., sig matches "SIGIR" as well as "signal"
• exact word search: append dollar sign ($) to word
  e.g., graph$ matches "graph", but not "graphics"
• boolean and: separate words by space
  e.g., codd model
• boolean or: connect words by pipe symbol (|)
  e.g., graph|network

Update May 7, 2017: Please note that we had to disable the phrase search operator (.) and the boolean not operator (-) due to technical problems. For the time being, phrase search queries will yield regular prefix search result, and search terms preceded by a minus will be interpreted as regular (positive) search terms.

found 91 matches

• 2024
• 
  Yingke Li, Mengxue Hou, Enlu Zhou, Fumin Zhang:
  Dynamic event-triggered integrated task and motion planning for process-aware source seeking. Auton. Robots 48(8): 23 (2024)
• 
  Di Wu, Yuhao Wang, Enlu Zhou:
  Data-Driven Ranking and Selection Under Input Uncertainty. Oper. Res. 72(2): 781-795 (2024)
• 
  Tianyi Liu, Yifan Lin, Enlu Zhou:
  Bayesian Stochastic Gradient Descent for Stochastic Optimization with Streaming Input Data. SIAM J. Optim. 34(1): 389-418 (2024)
• 
  Yingke Li, Enlu Zhou, Fumin Zhang:
  A Distributed Bayesian Data Fusion Algorithm With Uniform Consistency. IEEE Trans. Autom. Control. 69(9): 6176-6182 (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): 8:1-8:24 (2024)
• 
  Enlu Zhou:
  Data-driven Simulation Optimization in the Age of Digital Twins. SIGSIM-PADS 2024: 2
• 
  Yifan Lin, Yuhao Wang, Enlu Zhou:
  Reusing Historical Trajectories in Natural Policy Gradient via Importance Sampling: Convergence and Convergence Rate. CoRR abs/2403.00675 (2024)
• 2023
• 
  Gongbo Zhang, Yijie Peng, Jianghua Zhang, Enlu Zhou:
  Asymptotically Optimal Sampling Policy for Selecting Top-m Alternatives. INFORMS J. Comput. 35(6): 1261-1285 (2023)
• 
  Alexander Shapiro, Enlu Zhou, Yifan Lin:
  Bayesian Distributionally Robust Optimization. SIAM J. Optim. 33(2): 1279-1304 (2023)
• 
  Yingke Li, Mengxue Hou, Enlu Zhou, Fumin Zhang:
  Integrated Task and Motion Planning for Process-aware Source Seeking. ACC 2023: 527-532
• 
  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: 10933-10938
• 
  Yuhao Wang, Enlu Zhou:
  Bayesian Risk-Averse Q-Learning with Streaming Observations. NeurIPS 2023
• 
  Yifan Lin, Enlu Zhou:
  Reusing Historical Observations in Natural Policy Gradient. WSC 2023: 3071-3081
• 
  Yuhao Wang, Enlu Zhou:
  Input Data Collection Versus Simulation: Simultaneous Resource Allocation. WSC 2023: 3657-3668
• 
  Yifan Lin, Enlu Zhou:
  Approximate Bilevel Difference Convex Programming for Bayesian Risk Markov Decision Processes. CoRR abs/2301.11415 (2023)
• 
  Yuhao Wang, Enlu Zhou:
  Bayesian Risk-Averse Q-Learning with Streaming Observations. CoRR abs/2305.11300 (2023)
• 2022
• 
  Yingke Li, Tianyi Liu, Enlu Zhou, Fumin Zhang:
  Bayesian Learning Model Predictive Control for Process-Aware Source Seeking. IEEE Control. Syst. Lett. 6: 692-697 (2022)
• 
  Tianyi Liu, Yan Li, Enlu Zhou, Tuo Zhao:
  Noise Regularizes Over-parameterized Rank One Matrix Recovery, Provably. AISTATS 2022: 2784-2802
• 
  Yingke Li, Yifan Lin, Enlu Zhou, Fumin Zhang:
  Risk-Aware Model Predictive Control Enabled by Bayesian Learning. ACC 2022: 108-113
• 
  Samuel Daulton, Sait Cakmak, Maximilian Balandat, Michael A. Osborne, Enlu Zhou, Eytan Bakshy:
  Robust Multi-Objective Bayesian Optimization Under Input Noise. ICML 2022: 4831-4866
• 
  Yifan Lin, Yuxuan Ren, Enlu Zhou:
  Bayesian Risk Markov Decision Processes. NeurIPS 2022
• 
  Yuhao Wang, Enlu Zhou:
  Fixed Budget Ranking and Selection with Streaming Input Data. WSC 2022: 3027-3038
• 
  Tianyi Liu, Yan Li, Enlu Zhou, Tuo Zhao:
  Noise Regularizes Over-parameterized Rank One Matrix Recovery, Provably. CoRR abs/2202.03535 (2022)
• 
  Samuel Daulton, Sait Cakmak, Maximilian Balandat, Michael A. Osborne, Enlu Zhou, Eytan Bakshy:
  Robust Multi-Objective Bayesian Optimization Under Input Noise. CoRR abs/2202.07549 (2022)
• 
  Yifan Lin, Yuhao Wang, Enlu Zhou:
  Risk-averse Contextual Multi-armed Bandit Problem with Linear Payoffs. CoRR abs/2206.12463 (2022)
• 2021
• 
  Sait Cakmak, Di Wu, Enlu Zhou:
  Solving Bayesian risk optimization via nested stochastic gradient estimation. IISE Trans. 53(10): 1081-1093 (2021)
• 
  Tianyi Liu, Yan Li, Song Wei, Enlu Zhou, Tuo Zhao:
  Noisy Gradient Descent Converges to Flat Minima for Nonconvex Matrix Factorization. AISTATS 2021: 1891-1899
• 
  Sait Cakmak, Enlu Zhou, Siyang Gao:
  Contextual Ranking and Selection with Gaussian Processes. WSC 2021: 1-12
• 
  Tianyi Liu, Yifan Lin, Enlu Zhou:
  A Bayesian Approach to Online Simulation Optimization with Streaming Input Data. WSC 2021: 1-12
• 
  Gongbo Zhang, Yijie Peng, Jianghua Zhang, Enlu Zhou:
  Dynamic Sampling Policy For Subset Selection. WSC 2021: 1-12

skipping 61 more matches