Ye Chen
Title
Cited by
Cited by
Year
Complete expected improvement converges to an optimal budget allocation
Y Chen, IO Ryzhov
Advances in Applied Probability 51 (1), 209-235, 2019
102019
Rate-optimality of the complete expected improvement criterion
Y Chen, IO Ryzhov
2017 Winter Simulation Conference (WSC), 2173-2182, 2017
62017
Approximate Bayesian inference as a form of stochastic approximation: a new consistency theory with applications
Y Chen, IO Ryzhov
2016 Winter Simulation Conference (WSC), 534-544, 2016
62016
Consistency analysis of sequential learning under approximate bayesian inference
Y Chen, IO Ryzhov
Operations Research 68 (1), 295-307, 2020
52020
Balancing optimal large deviations in sequential selection
Y Chen, IO Ryzhov
Technical report, 2019
32019
Bayesian belief models in simulation-based decision-making
IO Ryzhov, Y Chen
Advances in Modeling and Simulation, 181-217, 2017
32017
Balancing optimal large deviations in ranking and selection
Y Chen, IO Ryzhov
2019 Winter Simulation Conference (WSC), 3368-3379, 2019
22019
Rate-optimality of complete expected improvement
Y Chen, IO Ryzhov
Submitted for publication, 2017
22017
Advanced statistical methods: inference, variable selection, and experimental design
IO Ryzhov, Q Zhang, Y Chen
2020 Winter Simulation Conference (WSC), 1-15, 2020
12020
Sequential selection for accelerated life testing via approximate Bayesian inference
Y Chen, Q Zhang, M Li, W Cai
Naval Research Logistics (NRL), 2020
2020
Stochastic Optimization: Approximate Bayesian Inference and Complete Expected Improvement
Y Chen
University of Maryland, College Park, 2018
2018
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Articles 1–11