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07/31/2020
Model Reduction of Shallow CNN Model for Reliable Deployment of Information Extraction from Medical Reports
Shallow Convolution Neural Network (CNN) is a time-tested tool for the i...
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06/27/2019
Learning Fair Representations for Kernel Models
Fair representations are a powerful tool for establishing criteria like ...
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03/12/2018
Scalable Algorithms for Learning High-Dimensional Linear Mixed Models
Linear mixed models (LMMs) are used extensively to model dependecies of ...
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02/21/2018
Subspace-Induced Gaussian Processes
We present a new Gaussian process (GP) regression model where the covari...
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02/25/2017
