Haofeng Zhang - RankMe

23 papers A* 3A 2Misc 2Journal 13Unranked 2

Year	Rank	Type	Title / Venue / Authors
2025	A	`conf`	Dissecting the Impact of Model Misspecification in Data-Driven Optimization. AISTATS Adam N. Elmachtoub, Henry Lam, Haixiang Lan, Haofeng Zhang
2025	J	`jnl`	Dissecting the Impact of Model Misspecification in Data-driven Optimization. CoRR Adam N. Elmachtoub, Henry Lam, Haixiang Lan, Haofeng Zhang
2025	A*	`conf`	Statistical Methodologies for Decision-Making and Uncertainty Reduction in Machine Learning. AAAI Haofeng Zhang
2025	J	`jnl`	The Bias-Variance Tradeoff in Data-Driven Optimization: A Local Misspecification Perspective. CoRR Haixiang Lan, Luofeng Liao, Adam N. Elmachtoub, Christian Kroer, Henry Lam, Haofeng Zhang
2024	J	`jnl`	Bayesian Bandit Algorithms with Approximate Inference in Stochastic Linear Bandits. CoRR Ziyi Huang, Henry Lam, Haofeng Zhang
2024	—	`—`	Statistical Methodologies for Decision-Making and Uncertainty Reduction in Machine Learning Haofeng Zhang
2023	J	`jnl`	Cardiac Adipose Tissue Segmentation via Image-Level Annotations. IEEE J. Biomed. Health Informatics Ziyi Huang, Yu Gan, Theresa Lye, Yanchen Liu, Haofeng Zhang, Andrew Laine, Elsa D. Angelini, Christine P. Hendon
2023	J	`jnl`	Doubly Robust Stein-Kernelized Monte Carlo Estimator: Simultaneous Bias-Variance Reduction and Supercanonical Convergence. J. Mach. Learn. Res. Henry Lam, Haofeng Zhang
2023	A*	`conf`	Efficient Uncertainty Quantification and Reduction for Over-Parameterized Neural Networks. NeurIPS Ziyi Huang, Henry Lam, Haofeng Zhang
2023	J	`jnl`	Efficient Uncertainty Quantification and Reduction for Over-Parameterized Neural Networks. CoRR Ziyi Huang, Henry Lam, Haofeng Zhang
2023	J	`jnl`	Estimate-Then-Optimize Versus Integrated-Estimation-Optimization: A Stochastic Dominance Perspective. CoRR Adam N. Elmachtoub, Henry Lam, Haofeng Zhang, Yunfan Zhao
2023	A*	`conf`	Optimal Regret Is Achievable with Bounded Approximate Inference Error: An Enhanced Bayesian Upper Confidence Bound Framework. NeurIPS Ziyi Huang, Henry Lam, Amirhossein Meisami, Haofeng Zhang
2022	J	`jnl`	Cardiac Adipose Tissue Segmentation via Image-Level Annotations. CoRR Ziyi Huang, Yu Gan, Theresa Lye, Yanchen Liu, Haofeng Zhang, Andrew Laine, Elsa D. Angelini, Christine P. Hendon
2022	J	`jnl`	Evaluating Aleatoric Uncertainty via Conditional Generative Models. CoRR Ziyi Huang, Henry Lam, Haofeng Zhang
2022	J	`jnl`	Generalized Bayesian Upper Confidence Bound with Approximate Inference for Bandit Problems. CoRR Ziyi Huang, Henry Lam, Amirhossein Meisami, Haofeng Zhang
2021	—	`conf`	Co-Seg: An Image Segmentation Framework Against Label Corruption. ISBI Ziyi Huang, Haofeng Zhang, Andrew Laine, Elsa D. Angelini, Christine P. Hendon, Yu Gan
2021	J	`jnl`	Co-Seg: An Image Segmentation Framework Against Label Corruption. CoRR Ziyi Huang, Haofeng Zhang, Andrew Laine, Elsa D. Angelini, Christine P. Hendon, Yu Gan
2021	A	`conf`	Learning Prediction Intervals for Regression: Generalization and Calibration. AISTATS Haoxian Chen, Ziyi Huang, Henry Lam, Huajie Qian, Haofeng Zhang
2021	J	`jnl`	Learning Prediction Intervals for Regression: Generalization and Calibration. CoRR Haoxian Chen, Ziyi Huang, Henry Lam, Huajie Qian, Haofeng Zhang
2021	Misc	`conf`	Neural Predictive Intervals for Simulation Metamodeling. WSC Henry Lam, Haofeng Zhang
2021	J	`jnl`	Quantifying Epistemic Uncertainty in Deep Learning. CoRR Ziyi Huang, Henry Lam, Haofeng Zhang
2020	—	`conf`	Heterogeneity Measurement of Cardiac Tissues Leveraging Uncertainty Information from Image Segmentation. MICCAI (1) Ziyi Huang, Yu Gan, Theresa Lye, Haofeng Zhang, Andrew Laine, Elsa D. Angelini, Christine P. Hendon
2019	Misc	`conf`	On The Stability of Kernelized Control Functionals On Partial And Biased Stochastic Inputs. WSC Henry Lam, Haofeng Zhang