On The Stability of Kernelized Control Functionals On Partial And Biased Stochastic Inputs. - Henry Lam; Haofeng Zhang 002 (WSC, 2019)

Heterogeneity Measurement of Cardiac Tissues Leveraging Uncertainty Information from Image Segmentation. - Ziyi Huang; Yu Gan 003; Theresa Lye; Haofeng Zhang 002; Andrew Laine; Elsa D. Angelini; Christine P. Hendon (MICCAI (1), 2020)

Learning Prediction Intervals for Regression: Generalization and Calibration. - Haoxian Chen 002; Ziyi Huang; Henry Lam; Huajie Qian; Haofeng Zhang 002 (AISTATS, 2021)

Co-Seg: An Image Segmentation Framework Against Label Corruption. - Ziyi Huang; Haofeng Zhang 002; Andrew Laine; Elsa D. Angelini; Christine P. Hendon; Yu Gan 003 (ISBI, 2021)

Neural Predictive Intervals for Simulation Metamodeling. - Henry Lam; Haofeng Zhang 002 (WSC, 2021)

Quantifying Epistemic Uncertainty in Deep Learning. - Ziyi Huang; Henry Lam; Haofeng Zhang 002 (CoRR, 2021)

Generalized Bayesian Upper Confidence Bound with Approximate Inference for Bandit Problems. - Ziyi Huang; Henry Lam; Amirhossein Meisami; Haofeng Zhang 002 (CoRR, 2022)

Evaluating Aleatoric Uncertainty via Conditional Generative Models. - Ziyi Huang; Henry Lam; Haofeng Zhang 002 (CoRR, 2022)

Optimal Regret Is Achievable with Bounded Approximate Inference Error: An Enhanced Bayesian Upper Confidence Bound Framework. - Ziyi Huang; Henry Lam; Amirhossein Meisami; Haofeng Zhang 002 (NeurIPS, 2023)

Efficient Uncertainty Quantification and Reduction for Over-Parameterized Neural Networks. - Ziyi Huang; Henry Lam; Haofeng Zhang 002 (NeurIPS, 2023)

Estimate-Then-Optimize Versus Integrated-Estimation-Optimization: A Stochastic Dominance Perspective. - Adam N. Elmachtoub; Henry Lam; Haofeng Zhang 002; Yunfan Zhao (CoRR, 2023)

Doubly Robust Stein-Kernelized Monte Carlo Estimator: Simultaneous Bias-Variance Reduction and Supercanonical Convergence. - Henry Lam; Haofeng Zhang 002 (J. Mach. Learn. Res., 2023)

Cardiac Adipose Tissue Segmentation via Image-Level Annotations. - Ziyi Huang; Yu Gan 003; Theresa Lye; Yanchen Liu; Haofeng Zhang 002; Andrew Laine; Elsa D. Angelini; Christine P. Hendon (IEEE J. Biomed. Health Informatics, 2023)

Bayesian Bandit Algorithms with Approximate Inference in Stochastic Linear Bandits. - Ziyi Huang; Henry Lam; Haofeng Zhang 002 (CoRR, 2024)

Statistical Methodologies for Decision-Making and Uncertainty Reduction in Machine Learning - Haofeng Zhang 002 (2024)

Statistical Methodologies for Decision-Making and Uncertainty Reduction in Machine Learning. - Haofeng Zhang 002 (AAAI, 2025)

Dissecting the Impact of Model Misspecification in Data-Driven Optimization. - Adam N. Elmachtoub; Henry Lam; Haixiang Lan; Haofeng Zhang 002 (AISTATS, 2025)