Kwai Hung Henry Lam

University of Michigan

United States

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Articles (18)

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2025

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2022

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2021

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2021

Collaborators (6)

Ding Zhao

Assistant Professor

Carnegie Mellon University

UNITED STATES

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Bernd Heidergott

University of Amsterdam

NETHERLANDS

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Tinglong Dai

Professor

Johns Hopkins University Carey Business School

UNITED STATES

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Eunhye Song

Assistant Professor

Georgia Institute of Technology

UNITED STATES

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Russell Barton

Professor

Pennsylvania State University

UNITED STATES

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Ruodu Wang

Assistant Professor

University of Waterloo

CANADA

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Kwai Hung Henry Lam

Research Interests

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Articles (18)

Convolution Bounds on Quantile Aggregation

Distributionally Constrained Black-Box Stochastic Gradient Estimation and Optimization

Synergizing Artificial Intelligence and Operations Research: Perspectives from INFORMS Fellows on the Next Frontier

Calibrating Non-Identifiable High-Dimensional Simulation Models: A Framework via Eligibility Set

Higher-Order Expansion and Bartlett Correctability of Distributionally Robust Optimization

A Shrinkage Approach to Improve Direct Bootstrap Resampling Under Input Uncertainty

Code and Data Repository for A Shrinkage Approach to Improve Direct Bootstrap Resampling Under Input Uncertainty

Adaptive Importance Sampling for Efficient Stochastic Root Finding and Quantile Estimation

Uncertainty Quantification and Exploration for Reinforcement Learning

Overconservativeness of Variance-Based Efficiency Criteria and Probabilistic Efficiency in Rare-Event Simulation

A New Likelihood Ratio Method for Training Artificial Neural Networks

Enhanced Balancing of Bias-Variance Tradeoff in Stochastic Estimation: A Minimax Perspective

Rare-event Simulation for Neural Network and Random Forest Predictors

General Feasibility Bounds for Sample Average Approximation via Vapnik--Chervonenkis Dimension

Subsampling to Enhance Efficiency in Input Uncertainty Quantification

Model calibration via distributionally robust optimization: On the NASA Langley Uncertainty Quantification Challenge

Learning-Based Robust Optimization: Procedures and Statistical Guarantees

Minimax efficient finite-difference stochastic gradient estimators using black-box function evaluations

Collaborators (6)

Ding Zhao

Bernd Heidergott

Tinglong Dai

Eunhye Song

Russell Barton

Ruodu Wang

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