| Deep probabilistic accelerated evaluation: A robust certifiable rare-event simulation methodology for black-box safety-critical systems M Arief, Z Huang, GKS Kumar, Y Bai, S He, W Ding, H Lam, D Zhao International Conference on Artificial Intelligence and Statistics, 595-603, 2021 | 33 | 2021 |
| Adaptive importance sampling for efficient stochastic root finding and quantile estimation S He, G Jiang, H Lam, MC Fu Operations Research, 2023 | 14 | 2023 |
| Certifiable deep importance sampling for rare-event simulation of black-box systems M Arief, Y Bai, W Ding, S He, Z Huang, H Lam, D Zhao arXiv preprint arXiv:2111.02204, 2021 | 9 | 2021 |
| Deep probabilistic accelerated evaluation: A certifiable rare-event simulation methodology for black-box autonomy M Arief, Z Huang, GKS Kumar, Y Bai, S He, W Ding, H Lam, D Zhao arXiv preprint arXiv:2006.15722 1 (4), 2020 | 9 | 2020 |
| Higher-order coverage error analysis for batching and sectioning S He, H Lam 2021 Winter Simulation Conference (WSC), 1-12, 2021 | 4 | 2021 |
| Higher-order coverage errors of batching methods via Edgeworth expansions on t-statistics S He, H Lam The Annals of Statistics 52 (4), 1360-1383, 2024 | 3 | 2024 |
| Higher-order expansion and bartlett correctability of distributionally robust optimization S He, H Lam arXiv preprint arXiv:2108.05908, 2021 | 3 | 2021 |
| Optimal Batching under Computation Budget S He, H Lam 2023 Winter Simulation Conference (WSC), 433-444, 2023 | 2 | 2023 |
| Importance Sampling for Rare-Event Gradient Estimation Y Bai, S He, H Lam, G Jiang, MC Fu 2022 Winter Simulation Conference (WSC), 3063-3074, 2022 | 1 | 2022 |
| Statistically Optimal Uncertainty Quantification for Expensive Black-Box Models S He, H Lam arXiv preprint arXiv:2408.05887, 2024 | | 2024 |
| Statistically Efficient Methods for Computation-Aware Uncertainty Quantification and Rare-Event Optimization S He Columbia University, 2024 | | 2024 |
| Batching on biased estimators S He, H Lam 2022 Winter Simulation Conference (WSC), 2606-2616, 2022 | | 2022 |
