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ORCIDHaofeng Zhang 0002
Person information
- affiliation: Columbia University, Department of Industrial Engineering and Operations Research, New York, NY, USA
Other persons with the same name
- Haofeng Zhang
- Haofeng Zhang 0001
![[0000-0002-4039-7618]](https://dblp.uni-trier.de./img/orcid-mark.12x12.png "0000-0002-4039-7618")
(aka: Hao-Feng Zhang 0001, Hao-feng Zhang 0001) — Nanjing University of Science and Technology, School of Computer Science and Engineering, China - Haofeng Zhang 0003 — Capital Medical University, Beijing Anzhen Hospital, China
- Haofeng Zhang 0004 — Xinjiang University, College of Information Science and Engineering, Urumqi, China
- Haofeng Zhang 0005 — University of Rochester, NY, USA
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2020 – today
- 2024
[i9]Ziyi Huang, Henry Lam, Haofeng Zhang:
Bayesian Bandit Algorithms with Approximate Inference in Stochastic Linear Bandits. CoRR abs/2406.14071 (2024)- 2023
- [j2]Henry Lam, Haofeng Zhang:
Doubly Robust Stein-Kernelized Monte Carlo Estimator: Simultaneous Bias-Variance Reduction and Supercanonical Convergence. J. Mach. Learn. Res. 24: 85:1-85:58 (2023) - [j1]Ziyi Huang, Yu Gan, Theresa Lye, Yanchen Liu, Haofeng Zhang, Andrew Laine, Elsa D. Angelini, Christine P. Hendon:
Cardiac Adipose Tissue Segmentation via Image-Level Annotations. IEEE J. Biomed. Health Informatics 27(6): 2932-2943 (2023) - [c7]Ziyi Huang, Henry Lam, Amirhossein Meisami, Haofeng Zhang:
Optimal Regret Is Achievable with Bounded Approximate Inference Error: An Enhanced Bayesian Upper Confidence Bound Framework. NeurIPS 2023 - [c6]Ziyi Huang, Henry Lam, Haofeng Zhang:
Efficient Uncertainty Quantification and Reduction for Over-Parameterized Neural Networks. NeurIPS 2023 - [i8]Adam N. Elmachtoub, Henry Lam, Haofeng Zhang, Yunfan Zhao:
Estimate-Then-Optimize Versus Integrated-Estimation-Optimization: A Stochastic Dominance Perspective. CoRR abs/2304.06833 (2023) - [i7]Ziyi Huang, Henry Lam, Haofeng Zhang:
Efficient Uncertainty Quantification and Reduction for Over-Parameterized Neural Networks. CoRR abs/2306.05674 (2023) - 2022
- [i6]Ziyi Huang, Henry Lam, Amirhossein Meisami, Haofeng Zhang:
Generalized Bayesian Upper Confidence Bound with Approximate Inference for Bandit Problems. CoRR abs/2201.12955 (2022) - [i5]Ziyi Huang, Yu Gan, Theresa Lye, Yanchen Liu, Haofeng Zhang, Andrew Laine, Elsa D. Angelini, Christine P. Hendon:
Cardiac Adipose Tissue Segmentation via Image-Level Annotations. CoRR abs/2206.04238 (2022) - [i4]Ziyi Huang, Henry Lam, Haofeng Zhang:
Evaluating Aleatoric Uncertainty via Conditional Generative Models. CoRR abs/2206.04287 (2022) - 2021
- [c5]Haoxian Chen, Ziyi Huang, Henry Lam, Huajie Qian, Haofeng Zhang:
Learning Prediction Intervals for Regression: Generalization and Calibration. AISTATS 2021: 820-828 - [c4]Ziyi Huang, Haofeng Zhang, Andrew Laine, Elsa D. Angelini, Christine P. Hendon, Yu Gan:
Co-Seg: An Image Segmentation Framework Against Label Corruption. ISBI 2021: 550-553 - [c3]Henry Lam, Haofeng Zhang:
Neural Predictive Intervals for Simulation Metamodeling. WSC 2021: 1-12 - [i3]Ziyi Huang, Haofeng Zhang, Andrew Laine, Elsa D. Angelini, Christine P. Hendon, Yu Gan:
Co-Seg: An Image Segmentation Framework Against Label Corruption. CoRR abs/2102.00523 (2021) - [i2]Haoxian Chen, Ziyi Huang, Henry Lam, Huajie Qian, Haofeng Zhang:
Learning Prediction Intervals for Regression: Generalization and Calibration. CoRR abs/2102.13625 (2021) - [i1]Ziyi Huang, Henry Lam, Haofeng Zhang:
Quantifying Epistemic Uncertainty in Deep Learning. CoRR abs/2110.12122 (2021) - 2020
- [c2]Ziyi Huang, Yu Gan, Theresa Lye, Haofeng Zhang, Andrew Laine, Elsa D. Angelini, Christine P. Hendon:
Heterogeneity Measurement of Cardiac Tissues Leveraging Uncertainty Information from Image Segmentation. MICCAI (1) 2020: 782-791
2010 – 2019
Coauthor Index
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