Instruct: Given the title of a paper, retrieve paper titles that are cited by the given paper.
Query: Variational Inference with Stein Mixtures
Boosting Variational Inference
Black-box Variational Inference for Stochastic Differential Equations
The Infinite Gaussian Mixture Model
An Introduction to Variational Methods for Graphical Models
Estimating Gaussian Mixture Densities with EM – A Tutorial
Variational inference for crowdsourcing
The Variational Gaussian Approximation Revisited
Markov Chain Sampling Methods for Dirichlet Process Mixture Models
Variational Inference for Mahalanobis Distance Metrics in Gaussian Process Regression
A global algorithm to estimate the expectations of the components of an observed univariate mixture
Lifted Tree-Reweighted Variational Inference
Stochastic Variational Inference for Bayesian Time Series Models
Local Expectation Gradients for Black Box Variational Inference
Practical Variational Inference for Neural Networks
Empirical Bayes Gibbs sampling
Asynchronous Stochastic Variational Inference
A Method of Moments for Mixture Models and Hidden Markov Models
Bayesian inference with Stan: A tutorial on adding custom distributions
A Split-Merge Markov Chain Monte Carlo Procedure for the Dirichlet Process Mixture Model
Stein Variational Autoencoder
virtual reality : past , present and future .
Convolution kernels on discrete structures
clearance of alzheimer ' s amyloid - ss ( 1 - 40 ) peptide from brain by ldl receptor - related protein - 1 at the blood - brain barrier .
A Multi-Layer Approach to Superpixel-based Higher-order Conditional Random Field for Semantic Image Segmentation
WE-LDA: A Word Embeddings Augmented LDA Model for Web Services Clustering