Haoda Fu

Publication Activity (10 Years)

Years Active: 2007-2023
Publications (10 Years): 8

Top Topics

Convex Optimization

Mahalanobis Metric

Experimental Designs

Top Venues

J. Mach. Learn. Res.

ACM Trans. Knowl. Discov. Data

Publications

Liuqing Yang, Yongdao Zhou, Haoda Fu, Min-Qian Liu, Wei Zheng
Fast Approximation of the Shapley Values Based on Order-of-Addition Experimental Designs. CoRR (2023)
Guan Yu, Haoda Fu, Yufeng Liu
High-Dimensional Cost-constrained Regression Via Nonconvex Optimization. Technometrics 64 (1) (2022)
Yujia Deng, Yubai Yuan, Haoda Fu, Annie Qu
Query-augmented Active Metric Learning. CoRR (2021)
Haomiao Meng, Ying-Qi Zhao, Haoda Fu, Xingye Qiao
Near-optimal Individualized Treatment Recommendations. CoRR (2020)
Duzhe Wang, Haoda Fu, Po-Ling Loh
Boosting Algorithms for Estimating Optimal Individualized Treatment Rules. CoRR (2020)
Haomiao Meng, Ying-Qi Zhao, Haoda Fu, Xingye Qiao
Near-optimal Individualized Treatment Recommendations. J. Mach. Learn. Res. 21 (2020)
Haoda Fu, Jin Zhou
A unified approach for subgroup identification and individualized treatment recommendation with applications to randomized control trials and observational studies. Model. Assist. Stat. Appl. 12 (3) (2017)
Pei Yang, Hongxia Yang, Haoda Fu, Dawei Zhou, Jieping Ye, Theodoros Lappas, Jingrui He
Jointly Modeling Label and Feature Heterogeneity in Medical Informatics. ACM Trans. Knowl. Discov. Data 10 (4) (2016)
Zhao Lu, Haoda Fu, Gangbing Song
A multi-scale non-parametric and parametric hybrid multi-category recognition algorithm with probabilistic outputs. J. Exp. Theor. Artif. Intell. 27 (4) (2015)
Pei Yang, Jingrui He, Hongxia Yang, Haoda Fu
Learning from Label and Feature Heterogeneity. ICDM (2014)
Ran Duan, Haoda Fu, Chenchen Yu
Identifying risk factors associate with hypoglycemic events. CICARE (2014)
Chunming Zhang, Haoda Fu, Yuan Jiang, Tao Yu
High-dimensional pseudo-logistic regression and classification with applications to gene expression data. Comput. Stat. Data Anal. 52 (1) (2007)