research
∙
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...
share
research
∙
06/27/2019
Learning Fair Representations for Kernel Models
Fair representations are a powerful tool for establishing criteria like ...
research
∙
03/12/2018
Scalable Algorithms for Learning High-Dimensional Linear Mixed Models
Linear mixed models (LMMs) are used extensively to model dependecies of ...
research
∙
02/21/2018
Subspace-Induced Gaussian Processes
We present a new Gaussian process (GP) regression model where the covari...
research
∙
02/25/2017