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01/29/2021
Layer-Peeled Model: Toward Understanding Well-Trained Deep Neural Networks
In this paper, we introduce the Layer-Peeled Model, a nonconvex yet anal...
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12/29/2020
Privacy-Preserving Methods for Vertically Partitioned Incomplete Data
Distributed health data networks that use information from multiple sour...
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08/07/2020
Grouping effects of sparse CCA models in variable selection
The sparse canonical correlation analysis (SCCA) is a bi-multivariate as...
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03/10/2020
Sharp Composition Bounds for Gaussian Differential Privacy via Edgeworth Expansion
Datasets containing sensitive information are often sequentially analyze...
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11/26/2019
Deep Learning with Gaussian Differential Privacy
Deep learning models are often trained on datasets that contain sensitiv...
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05/13/2019
Multiple imputation using dimension reduction techniques for high-dimensional data
Missing data present challenges in data analysis. Naive analyses such as...
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05/06/2019
Propensity Process: a Balancing Functional
In observational clinic registries, time to treatment is often of intere...
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05/06/2019