variational-bayes topic
BaySMM
Model for learning document embeddings along with their uncertainties
vistan
A simple library to run variational inference on Stan models.
mimo
A toolbox for inference of mixture models
pypmc
Clustering with variational Bayes and population Monte Carlo
VBLinLogit
Variational Bayes linear and logistic regression
variational-bayes-cs
Scalable sparse Bayesian learning for large CS recovery problems
vlgp
Dimensionality reduction of spikes trains
Meta-learning-without-memorization
A study on the following problems: what the memorization problem is in meta-learning; why memorization problem happens; and how we can prevent it. (ICLR 2020)
ARM-gradient
Low-variance, efficient and unbiased gradient estimation for optimizing models with binary latent variables. (ICLR 2019)