A Gaussian process based algorithm for stochastic simulation optimization with input distribution uncertainty H Wang, SH Ng, X Zhang 2020 Winter Simulation Conference (WSC), 2899-2910, 2020 | 8 | 2020 |
A nonparametric Bayesian approach for simulation optimization with input uncertainty H Wang, X Zhang, SH Ng arXiv:2008.02154, 2020 | 6 | 2020 |
A unifying framework for variance-reduced algorithms for findings zeroes of monotone operators X Zhang, WB Haskell, Z Ye Journal of Machine Learning Research 23 (60), 1-44, 2022 | 5* | 2022 |
Error Propagation in Asymptotic Analysis of the Data-Driven (s, S) Inventory Policy X Zhang, ZS Ye, WB Haskell Operations Research, 2024 | 2* | 2024 |
Randomized smoothing variance reduction method for large-scale non-smooth convex optimization W Huang, X Zhang Operations Research Forum 2 (2), 26, 2021 | 1 | 2021 |
An End-to-end Model for Share-of-choice Product Line Design Problem L Maoqi, Z Xun, G Hailei, L Changchun arXiv:2310.07098, 2023 | | 2023 |
Estimation and Evaluation of Data-Driven Inventory Policies by Asymptotic Statistics Z Xun PQDT-Global, 2021 | | 2021 |