Complete expected improvement converges to an optimal budget allocation Y Chen, IO Ryzhov Advances in Applied Probability 51 (1), 209-235, 2019 | 35 | 2019 |
Balancing optimal large deviations in sequential selection Y Chen, IO Ryzhov Management Science 69 (6), 3457-3473, 2023 | 21 | 2023 |
Balancing optimal large deviations in ranking and selection Y Chen, IO Ryzhov 2019 Winter Simulation Conference (WSC), 3368-3379, 2019 | 13 | 2019 |
Rate-optimality of the complete expected improvement criterion Y Chen, IO Ryzhov 2017 Winter Simulation Conference (WSC), 2173-2182, 2017 | 9* | 2017 |
Consistency analysis of sequential learning under approximate bayesian inference Y Chen, IO Ryzhov Operations Research 68 (1), 295-307, 2020 | 7 | 2020 |
Advanced statistical methods: Inference, variable selection, and experimental design IO Ryzhov, Q Zhang, Y Chen 2020 Winter Simulation Conference (WSC), 1-15, 2020 | 6 | 2020 |
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 | 6 | 2016 |
Data-driven robust resource allocation with monotonic cost functions Y Chen, N Marković, IO Ryzhov, P Schonfeld Operations Research 70 (1), 73-94, 2022 | 5 | 2022 |
Sequential selection for accelerated life testing via approximate Bayesian inference Y Chen, Q Zhang, M Li, W Cai Naval Research Logistics (NRL) 69 (2), 336-351, 2022 | 3 | 2022 |
Bayesian belief models in simulation-based decision-making IO Ryzhov, Y Chen Advances in Modeling and Simulation: Seminal Research from 50 Years of …, 2017 | 3 | 2017 |
Improving Snowplowing Operations in Utah Through Optimization and Visualization Y Wang, Y Chen, IO Ryzhov, XC Liu, N Marković INFORMS Journal on Applied Analytics, 2024 | | 2024 |
Sequential Selection for Minimizing the Variance with Application to Crystallization Experiments CM Kerfonta, S Kim, Y Chen, Q Zhang, M Jiang The American Statistician, 1-16, 2024 | | 2024 |
Data-Driven Optimal Allocation for Ranking and Selection under Unknown Sampling Distributions Y Chen 2023 Winter Simulation Conference (WSC), 3382-3387, 2023 | | 2023 |
Stochastic Optimization: Approximate Bayesian Inference and Complete Expected Improvement Y Chen University of Maryland, College Park, 2018 | | 2018 |