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stat.ML2023
Functional sufficient dimension reduction through information maximization with application to classification
Xinyu Li, Jianjun Xu, Wenquan Cui +1
Considering the case where the response variable is a categorical variable and the predictor is a random function, two novel functional sufficient dimensional reduction (FSDR) meth…
stat.ML2023
Federated Covariate Shift Adaptation for Missing Target Output Values
Yaqian Xu, Wenquan Cui, Jianjun Xu +1
The most recent multi-source covariate shift algorithm is an efficient hyperparameter optimization algorithm for missing target output. In this paper, we extend this algorithm to t…
stat.ML2023
Federated Sufficient Dimension Reduction Through High-Dimensional Sparse Sliced Inverse Regression
Wenquan Cui, Yue Zhao, Jianjun Xu +1
Federated learning has become a popular tool in the big data era nowadays. It trains a centralized model based on data from different clients while keeping data decentralized. In t…