Henry Lam
Columbia University in the City of New York
H-index: 23
North America-United States
Top articles of Henry Lam
Title | Journal | Author(s) | Publication Date |
|---|---|---|---|
Optimal Regret Is Achievable with Bounded Approximate Inference Error: An Enhanced Bayesian Upper Confidence Bound Framework | Advances in Neural Information Processing Systems | Ziyi Huang Henry Lam Amirhossein Meisami Haofeng Zhang | 2024/2/13 |
Efficient Uncertainty Quantification and Reduction for Over-Parameterized Neural Networks | Advances in Neural Information Processing Systems | Ziyi Huang Henry Lam Haofeng Zhang | 2024/2/13 |
A Shrinkage Approach to Improve Direct Bootstrap Resampling under Input Uncertainty | INFORMS Journal on Computing | Eunhye Song Henry Lam Russell R Barton | 2024/2/2 |
Burn-in selection in simulating stationary time series | Computational Statistics & Data Analysis | Yuanbo Li Chu Kin Chan Chun Yip Yau Wai Leong Ng Henry Lam | 2024/4/1 |
Learning from Sparse Offline Datasets via Conservative Density Estimation | arXiv preprint arXiv:2401.08819 | Zhepeng Cen Zuxin Liu Zitong Wang Yihang Yao Henry Lam | 2024/1/16 |
Quantifying Distributional Input Uncertainty via Inflated Kolmogorov-Smirnov Confidence Band | arXiv preprint arXiv:2403.09877 | Motong Chen Henry Lam Zhenyuan Liu | 2024/3/14 |
Efficient learning for clustering and optimizing context-dependent designs | Operations Research | Haidong Li Henry Lam Yijie Peng | 2024/3 |
Dynamic Stratification and Post-Stratified Adaptive Sampling for Simulation Optimization | Pranav Jain Sara Shashaani | 2023/12/10 | |
Reverse Engineering the Future–An Automated Backward Simulation Approach to on-Time Production in the Semiconductor Industry | Madlene Leißau Christoph Laroque | 2023/12/10 | |
Statistical Uncertainty Quantification for Expensive Black-Box Models: Methodologies and Input Uncertainty Applications | Henry Lam | 2023/12/10 | |
Hedging against complexity: Distributionally robust optimization with parametric approximation | Garud Iyengar Henry Lam Tianyu Wang | 2023/4/11 | |
Adaptive importance sampling for efficient stochastic root finding and quantile estimation | Operations Research | Shengyi He Guangxin Jiang Henry Lam Michael C Fu | 2023/6/2 |
Pseudo-bayesian optimization | arXiv preprint arXiv:2310.09766 | Haoxian Chen Henry Lam | 2023/10/15 |
Properties of Several Performance Indicators for Global Multi-Objective Simulation Optimization | Susan R Hunter Burla E Ondes | 2023/12/10 | |
Stochastic Constraints: How Feasible Is Feasible? | David J Eckman Shane G Henderson Sara Shashaani | 2023/12/10 | |
Resampling Stochastic Gradient Descent Cheaply | Henry Lam Zitong Wang | 2023/12/10 | |
Group distributionally robust reinforcement learning with hierarchical latent variables | Mengdi Xu Peide Huang Yaru Niu Visak Kumar Jielin Qiu | 2023/4/11 | |
Conditional coverage estimation for high-quality prediction intervals | Journal of Systems Science and Systems Engineering | Ziyi Huang Henry Lam Haofeng Zhang | 2023/6 |
Bootstrap in high dimension with low computation | Henry Lam Zhenyuan Liu | 2023/7/3 | |
Robust Importance Sampling for Stochastic Simulations with Uncertain Parametric Input Model | Seung Min Baik Young Myoung Ko Eunshin Byon | 2023/12/10 |
