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2020 – today
- 2023
[c6]Qingyuan Amber Chen, Mingbin Ben Feng:
Generalized Importance Sampling for Nested Simulation. WSC 2023: 409-420- 2022
- [c5]Wei Xie, Keqi Wang, Hua Zheng, Mingbin Ben Feng:
Sequential Importance Sampling for Hybrid Model Bayesian Inference to Support Bioprocess Mechanism Learning and Robust Control. WSC 2022: 2282-2293 - [i3]Wei Xie, Keqi Wang, Hua Zheng, Mingbin Ben Feng:
Dynamic Bayesian Network Auxiliary ABC-SMC for Hybrid Model Bayesian Inference to Accelerate Biomanufacturing Process Mechanism Learning and Robust Control. CoRR abs/2205.02410 (2022) - 2021
- [i2]Hua Zheng, Wei Xie, Mingbin Ben Feng:
Green Simulation Assisted Policy Gradient to Accelerate Stochastic Process Control. CoRR abs/2110.08902 (2021) - 2020
- [c4]Hua Zheng, Wei Xie, Mingbin Ben Feng:
Green Simulation Assisted Reinforcement Learning With Model Risk for Biomanufacturing Learning and Control. WSC 2020: 337-348 - [i1]Hua Zheng, Wei Xie, Mingbin Ben Feng:
Green Simulation Assisted Reinforcement Learning with Model Risk for Biomanufacturing Learning and Control. CoRR abs/2006.09919 (2020)
2010 – 2019
- 2018
- [c3]Mingbin Ben Feng, Alvaro Maggiar, Jeremy Staum, Andreas Wächter:
Uniform convergence of sample Average Approximation with adaptive Multiple Importance Sampling. WSC 2018: 1646-1657 - [c2]Jing Dong, Mingbin Ben Feng, Barry L. Nelson:
Unbiased Metamodeling via likelihood ratios. WSC 2018: 1778-1789 - [c1]David J. Eckman, Mingbin Ben Feng:
Green simulation Optimization using likelihood ratio estimators. WSC 2018: 2049-2060
Coauthor Index
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