Instruct: Given the title of a paper, retrieve paper titles that are cited by the given paper.
Query: Online but Accurate Inference for Latent Variable Models with Local Gibbs Sampling
Explaining the Gibbs Sampler
Properties of Latent Variable Network Models
Stochastic Gradient MCMC Methods for Hidden Markov Models
Variational Inference: A Review for Statisticians
A Linear Approximation Method for Probabilistic Inference
Local Expectation Gradients for Black Box Variational Inference
Bayesian Estimation of Beta Mixture Models with Variational Inference
Dynamic Blocking and Collapsing for Gibbs Sampling
Correctness of Local Probability Propagation in Graphical Models with Loops
Particle Gibbs with Ancestor Sampling
Bayesian Inference on Principal Component Analysis Using Reversible Jump Markov Chain Monte Carlo
Posterior regularization for structured latent variable models
Operator Variational Inference
JAGS: A program for analysis of Bayesian graphical models using Gibbs sampling
Variational Bayes for Hierarchical Mixture Models
Sticking the Landing: Simple, Lower-Variance Gradient Estimators for Variational Inference
A constrained latent variable model
High Performance Latent Variable Models
Towards Asynchronous Distributed MCMC Inference for Large Graphical Models
Automatic Variational Inference in Stan
Microfiltration isolation of human urinary exosomes for characterization by MS.
The Waterfall Model in Large-Scale Development
Mean Deviation Similarity Index: Efficient and Reliable Full-Reference Image Quality Evaluator
Bayesian Prediction of Future Street Scenes using Synthetic Likelihoods
Bayesian Learning via Stochastic Gradient Langevin Dynamics