Henry Lam
Cited by
Cited by
Accelerated evaluation of automated vehicles safety in lane-change scenarios based on importance sampling techniques
D Zhao, H Lam, H Peng, S Bao, DJ LeBlanc, K Nobukawa, CS Pan
IEEE transactions on intelligent transportation systems 18 (3), 595-607, 2016
Learning about social learning in MOOCs: From statistical analysis to generative model
CG Brinton, M Chiang, S Jain, H Lam, Z Liu, FMF Wong
IEEE transactions on Learning Technologies 7 (4), 346-359, 2014
Accelerated evaluation of automated vehicles in car-following maneuvers
D Zhao, X Huang, H Peng, H Lam, DJ LeBlanc
IEEE Transactions on Intelligent Transportation Systems 19 (3), 733-744, 2017
Robust sensitivity analysis for stochastic systems
H Lam
Mathematics of Operations Research 41 (4), 1248-1275, 2016
Recovering best statistical guarantees via the empirical divergence-based distributionally robust optimization
H Lam
Operations Research 67 (4), 1090-1105, 2019
Chernoff-Hoeffding bounds for Markov chains: Generalized and simplified
KM Chung, H Lam, Z Liu, M Mitzenmacher
arXiv preprint arXiv:1201.0559, 2012
Accelerated evaluation of automated vehicles using piecewise mixture models
Z Huang, H Lam, DJ LeBlanc, D Zhao
IEEE Transactions on Intelligent Transportation Systems 19 (9), 2845-2855, 2017
State-dependent importance sampling for rare-event simulation: An overview and recent advances
J Blanchet, H Lam
Surveys in Operations Research and Management Science 17 (1), 38-59, 2012
Advanced tutorial: Input uncertainty and robust analysis in stochastic simulation
H Lam
2016 Winter Simulation Conference (WSC), 178-192, 2016
The empirical likelihood approach to quantifying uncertainty in sample average approximation
H Lam, E Zhou
Operations Research Letters 45 (4), 301-307, 2017
Robust analysis in stochastic simulation: Computation and performance guarantees
S Ghosh, H Lam
Operations Research 67 (1), 232-249, 2019
Sensitivity to serial dependency of input processes: A robust approach
H Lam
Management Science 64 (3), 1311-1327, 2018
Learning-based robust optimization: Procedures and statistical guarantees
LJ Hong, Z Huang, H Lam
Management Science 67 (6), 3447-3467, 2021
Tail analysis without parametric models: A worst-case perspective
H Lam, C Mottet
Operations Research 65 (6), 1696-1711, 2017
Evaluation of automated vehicles in the frontal cut-in scenario—An enhanced approach using piecewise mixture models
Z Huang, D Zhao, H Lam, DJ LeBlanc, H Peng
2017 IEEE International Conference on Robotics and Automation (ICRA), 197-202, 2017
Information Dissemination via Random Walks in d-Dimensional Space
H Lam, Z Liu, M Mitzenmacher, X Sun, Y Wang
Proceedings of the Twenty-Third Annual ACM-SIAM Symposium on Discrete …, 2012
A versatile approach to evaluating and testing automated vehicles based on kernel methods
Z Huang, Y Guo, M Arief, H Lam, D Zhao
2018 Annual American Control Conference (ACC), 4796-4802, 2018
Subsampling to enhance efficiency in input uncertainty quantification
H Lam, H Qian
Operations Research 70 (3), 1891-1913, 2022
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
Quantifying uncertainty in sample average approximation
H Lam, E Zhou
2015 Winter Simulation Conference (WSC), 3846-3857, 2015
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