azpoliak / prox-grad-svi

Proximal Gradient Stochastic Variational Inference Based on UAI-2016 paper by Khan, Babanezhad, Lin, Schmidt, and Sugiyama

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prox-grad-svi

Proximal Gradient Stochastic Variational Inference Based on the UAI-2016 paper by Khan, Babanezhad, Lin, Schmidt, and Sugiyama.

The file 'demo.m' contains a few examples for Gaussian Process classification. To run this file, download the code, cd to the directory in Matlab, and do 'addpath(genpath(pwd))' at the command line.

The file 'infKL_PG.m' is the main file which is written in the inference file format for GPML.

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Proximal Gradient Stochastic Variational Inference Based on UAI-2016 paper by Khan, Babanezhad, Lin, Schmidt, and Sugiyama

License:GNU General Public License v3.0


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