Mingbin Ben Feng

According to our database, Mingbin Ben Feng authored at least 8 papers between 2018 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

Generalized Importance Sampling for Nested Simulation.

Qingyuan Amber Chen, Mingbin Ben Feng

Proceedings of the Winter Simulation Conference, 2023

2022

Dynamic Bayesian Network Auxiliary ABC-SMC for Hybrid Model Bayesian Inference to Accelerate Biomanufacturing Process Mechanism Learning and Robust Control.

Wei Xie, Keqi Wang, Hua Zheng, Mingbin Ben Feng

CoRR, 2022

Sequential Importance Sampling for Hybrid Model Bayesian Inference to Support Bioprocess Mechanism Learning and Robust Control.

Wei Xie, Keqi Wang, Hua Zheng, Mingbin Ben Feng

Proceedings of the Winter Simulation Conference, 2022

2021

Green Simulation Assisted Policy Gradient to Accelerate Stochastic Process Control.

Hua Zheng, Wei Xie, Mingbin Ben Feng

CoRR, 2021

2020

Green Simulation Assisted Reinforcement Learning With Model Risk for Biomanufacturing Learning and Control.

Hua Zheng, Wei Xie, Mingbin Ben Feng

Proceedings of the Winter Simulation Conference, 2020

2018

Uniform convergence of sample Average Approximation with adaptive Multiple Importance Sampling.

Mingbin Ben Feng, Alvaro Maggiar, Jeremy Staum, Andreas Wächter

Proceedings of the 2018 Winter Simulation Conference, 2018

Green simulation Optimization using likelihood ratio estimators.

David J. Eckman, Mingbin Ben Feng

Proceedings of the 2018 Winter Simulation Conference, 2018

Unbiased Metamodeling via likelihood ratios.

Jing Dong, Mingbin Ben Feng, Barry L. Nelson

Proceedings of the 2018 Winter Simulation Conference, 2018