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09/11/2023
A conformal test of linear models via permutation-augmented regressions
Permutation tests are widely recognized as robust alternatives to tests ...
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02/04/2023
GAN-based federated learning for label protection in binary classification
As an emerging technique, vertical federated learning collaborates with ...
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02/04/2023
Conformalized semi-supervised random forest for classification and abnormality detection
Traditional classifiers infer labels under the premise that the training...
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01/14/2022
ℓ_1-norm constrained multi-block sparse canonical correlation analysis via proximal gradient descent
Multi-block CCA constructs linear relationships explaining coherent vari...
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06/15/2021
Localized Conformal Prediction: A Generalized Inference Framework for Conformal Prediction
We propose a new inference framework called localized conformal predicti...
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04/12/2021
A smoothed and probabilistic PARAFAC model with covariates
Analysis and clustering of multivariate time-series data attract growing...
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08/22/2019
Conformal prediction with localization
We propose a new method called localized conformal prediction, where we ...
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05/10/2019
Prediction and outlier detection in classification problems
We consider the multi-class classification problem when the training dat...
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05/10/2019
Prediction and outlier detection: a distribution-free prediction set with a balanced objective
We consider the multi-class classification problem when the training dat...
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07/18/2018
Detecting strong signals in gene perturbation experiments: An adaptive approach with power guarantee and FDR control
The perturbation of a transcription factor should affect the expression ...
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06/04/2018
Post model-fitting exploration via a "Next-Door" analysis
We propose a simple method for evaluating the model that has been chosen...
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01/09/2018