5 citations · 6 across the 4 of their papers we have counts for
5 papers
Non-Crossing Deep Quantile Regression for Distributional Survival Prediction
Shuai Huang, Zhe Qu, Zhaowei Hua +3
In survival analysis the way covariates act on the risk of an event often differs between early and late failure times, yet hazard- and mean-based summaries collapse this variation…
Faster Stochastic Variance Reduction Methods for Compositional MiniMax Optimization
Jin Liu, Xiaokang Pan, Junwen Duan +3
This paper delves into the realm of stochastic optimization for compositional minimax optimization - a pivotal challenge across various machine learning domains, including deep AUC…
Inter-Instance Similarity Modeling for Contrastive Learning
Chengchao Shen, Dawei Liu, Hao Tang +2
The existing contrastive learning methods widely adopt one-hot instance discrimination as pretext task for self-supervised learning, which inevitably neglects rich inter-instance s…
D-GCCA: Decomposition-based Generalized Canonical Correlation Analysis for Multi-view High-dimensional Data
Hai Shu, Zhe Qu, Hongtu Zhu
Modern biomedical studies often collect multi-view data, that is, multiple types of data measured on the same set of objects. A popular model in high-dimensional multi-view data an…
CDPA: Common and Distinctive Pattern Analysis between High-dimensional Datasets
Hai Shu, Zhe Qu
A representative model in integrative analysis of two high-dimensional correlated datasets is to decompose each data matrix into a low-rank common matrix generated by latent factor…