| Knowledge gradient for selection with covariates: Consistency and computation L Ding, LJ Hong, H Shen, X Zhang Naval Research Logistics (NRL) 69 (3), 496-507, 2022 | 26 | 2022 |
| BdryGP: a new Gaussian process model for incorporating boundary information L Ding, S Mak, CF Wu arXiv preprint arXiv:1908.08868, 2019 | 10 | 2019 |
| Generalization guarantees for sparse kernel approximation with entropic optimal features L Ding, R Tuo, S Shahrampour International Conference on Machine Learning, 2545-2555, 2020 | 9 | 2020 |
| Sequential sampling for Bayesian robust ranking and selection X Zhang, L Ding 2016 Winter Simulation Conference (WSC), 758-769, 2016 | 8 | 2016 |
| Scalable stochastic kriging with markovian covariances L Ding, X Zhang arXiv preprint arXiv:1803.02575, 2018 | 5 | 2018 |
| High-dimensional simulation optimization via brownian fields and sparse grids L Ding, R Tuo, X Zhang arXiv preprint arXiv:2107.08595, 2021 | 3 | 2021 |
| Sample and computationally efficient simulation metamodeling in high dimensions X Zhang | 3 | 2020 |
| High-dimensional non-parametric density estimation in mixed smooth sobolev spaces L Ding, L Zou, W Wang, S Shahrampour, R Tuo arXiv preprint arXiv:2006.03696, 2020 | 3 | 2020 |
