Copula-Variational-Bayes

Variational bayes algorithm

An implementation of Copula Variational Bayes inference using information geometry, allowing for efficient estimation of parameters in various machine learning algorithms and high-dimensional problems.

Matlab code for my paper "Copula Variational Bayes inference via information geometry", submitted to IEEE Trans. on information theory, 2018

GitHub

51 stars
8 watching
15 forks
Language: MATLAB
last commit: almost 6 years ago
Linked from 1 awesome list


Backlinks from these awesome lists:

Related projects:

Repository Description Stars
peiyunh/mat-vae A MATLAB implementation of an Auto-Encoding Variational Bayes algorithm for generative modeling 44
andymiller/vboost An open source software implementation of a black-box variational inference method to approximate intractable distributions. 11
allenbeau/pfedbayes An implementation of personalized federated learning using variational Bayesian inference on the MNIST dataset 51
acerbilab/vbmc An approximate Bayesian inference method for fitting and evaluating complex computational models with limited resources. 219
ctallec/pyvarinf A Python package facilitating Bayesian Deep Learning methods with Variational Inference for PyTorch 359
sheffieldml/vargplvm A software project implementing Bayesian GP-LVM with variational approximations and automatic dimensionality detection. 74
maoxu/joint_bayesian Realizes an algorithm from a Bayesian face recognition paper using Matlab. 36
vonsylvia/matlab_algorithm_with_cases A collection of implementations for various optimization algorithms in MATLAB 441
brian-lau/matlabstan A Matlab interface to Stan, providing a Bayesian inference framework 81
camdavidsonpilon/probabilistic-programming-and-bayesian-methods-for-hackers An introduction to Bayesian methods and probabilistic programming for software developers 26,836
shuai-xie/genetic-algorithm A Matlab implementation of a genetic algorithm to find optimal solutions to optimization problems 420
wlwkgus/noisynaturalgradient PyTorch implementation of Noisy Natural Gradient as Variational Inference for Bayesian Neural Networks 121
catohaste/pomdp An implementation of a reinforcement learning algorithm based on a partially observable Markov decision process for a simple decision task 54
bayesnet/bnt Provides a set of tools and algorithms for Bayesian networks in MATLAB 470
ignavierng/notears-admm An implementation of Bayesian network structure learning with continuous optimization for federated learning. 10