Haofeng Zhang

According to our database, Haofeng Zhang authored at least 14 papers between 2019 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Bayesian Bandit Algorithms with Approximate Inference in Stochastic Linear Bandits.

Ziyi Huang, Henry Lam, Haofeng Zhang

CoRR, 2024

2023

Cardiac Adipose Tissue Segmentation via Image-Level Annotations.

Ziyi Huang, Yu Gan, Theresa Lye, Yanchen Liu, Haofeng Zhang, Andrew Laine, Elsa D. Angelini, Christine P. Hendon

IEEE J. Biomed. Health Informatics, June, 2023

Doubly Robust Stein-Kernelized Monte Carlo Estimator: Simultaneous Bias-Variance Reduction and Supercanonical Convergence.

Henry Lam, Haofeng Zhang

J. Mach. Learn. Res., 2023

Estimate-Then-Optimize Versus Integrated-Estimation-Optimization: A Stochastic Dominance Perspective.

Adam N. Elmachtoub, Henry Lam, Haofeng Zhang, Yunfan Zhao

CoRR, 2023

Efficient Uncertainty Quantification and Reduction for Over-Parameterized Neural Networks.

Ziyi Huang, Henry Lam, Haofeng Zhang

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Optimal Regret Is Achievable with Bounded Approximate Inference Error: An Enhanced Bayesian Upper Confidence Bound Framework.

Ziyi Huang, Henry Lam, Amirhossein Meisami, Haofeng Zhang

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

2022

Evaluating Aleatoric Uncertainty via Conditional Generative Models.

Ziyi Huang, Henry Lam, Haofeng Zhang

CoRR, 2022

Generalized Bayesian Upper Confidence Bound with Approximate Inference for Bandit Problems.

Ziyi Huang, Henry Lam, Amirhossein Meisami, Haofeng Zhang

CoRR, 2022

2021

Quantifying Epistemic Uncertainty in Deep Learning.

Ziyi Huang, Henry Lam, Haofeng Zhang

CoRR, 2021

Neural Predictive Intervals for Simulation Metamodeling.

Henry Lam, Haofeng Zhang

Proceedings of the Winter Simulation Conference, 2021

Co-Seg: An Image Segmentation Framework Against Label Corruption.

Ziyi Huang, Haofeng Zhang, Andrew Laine, Elsa D. Angelini, Christine P. Hendon, Yu Gan

Proceedings of the 18th IEEE International Symposium on Biomedical Imaging, 2021

Learning Prediction Intervals for Regression: Generalization and Calibration.

Haoxian Chen, Ziyi Huang, Henry Lam, Huajie Qian, Haofeng Zhang

Proceedings of the 24th International Conference on Artificial Intelligence and Statistics, 2021

2020

Heterogeneity Measurement of Cardiac Tissues Leveraging Uncertainty Information from Image Segmentation.

Ziyi Huang, Yu Gan, Theresa Lye, Haofeng Zhang, Andrew Laine, Elsa D. Angelini, Christine P. Hendon

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020

2019

On The Stability of Kernelized Control Functionals On Partial And Biased Stochastic Inputs.

Henry Lam, Haofeng Zhang

Proceedings of the 2019 Winter Simulation Conference, 2019