variational Bayesian algorithm for Brain MR image Segmentation
Nonnegative matrix factorization with DAG constraints. A probabilistic formulation, variational learning.
Embedded Scala probabilistic programming language
An extensible C++ library of Hierarchical Bayesian clustering algorithms, such as Bayesian Gaussian mixture models, variational Dirichlet processes, Gaussian latent Dirichlet allocation and more.
Group sparse NMF, variational Bayesian learning.
Tensorflow Implementation of Knowledge-Guided CVAE for dialog generation ACL 2017. It is released by Tiancheng Zhao (Tony) from Dialog Research Center, LTI, CMU
A list of variational inference algorithms and their performance on MNIST
Low-variance, efficient and unbiased gradient estimation for optimizing models with binary latent variables. (ICLR 2019)
Variational Bayes linear and logistic regression
Cross-center smoothness prior for Bayesian image segmentation
Third year mathematics dissertation on variational, laplace and mcmc approximations of bayesian logistic regression
MLSS2019 Tutorial on Bayesian Deep Learning
User friendly MATLAB GUI for Bayesian nonparametric spatio-temporal modeling of fMRI data. Accompany paper: Kook et al. (2019). NPBayes-fMRI: Nonparametric Bayesian General Linear Models for Single- and Multi-Subject fMRI Data. Statistics in Biosciences, 11(1), 3-21.
Proof of concept for online VMP for HAR models.
Using mean filed approximation techniques on time series analysis forecast the closing price of Amazon's stocks.
Simulation Demo of Variational Bayes Model in My Master's Degree Thesis in Statistics
An implementation of Stochastic Gradient Variational Bayes (SGVB) in PyTorch
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