Instruct: Given the title of a scientific paper, retrieve paper titles that are cited by the given paper
Query: Black Box Variational Inference
Stochastic Variational Inference
Stochastic Back-propagation and Variational Inference in Deep Latent Gaussian Models
An Introduction to Variational Methods for Graphical Models
Tradeoffs in Neural Variational Inference Thesis
Neural Variational Inference and Learning in Belief Networks
A Collapsed Variational Bayesian Inference Algorithm for Latent Dirichlet Allocation
Variational Bayes with Synthetic Likelihood
Variational Inference for Uncertainty on the Inputs of Gaussian Process Models
A stochastic approximation method for inference in probabilistic graphical models
Variational Inference for Mahalanobis Distance Metrics in Gaussian Process Regression
A review of deterministic approximate inference techniques for Bayesian machine learning
Stochastic Gradient Descent as Approximate Bayesian Inference
Asynchronous Stochastic Variational Inference
A Variational Approximation for Bayesian Networks with Discrete and Continuous Latent Variables
Variational Bayes In Private Settings (VIPS)
Bayesian Estimation of Beta Mixture Models with Variational Inference
Inference Suboptimality in Variational Autoencoders
structured and efficient variational deep learning with matrix gaussian posteriors .
D-MFVI: Distributed Mean Field Variational Inference using Bregman ADMM
Multi-Source Neural Variational Inference
NONLINEAR IDENTIFICATION OF A PHYSICALLY PARAMETERIZED ROBOT MODEL 1
A Deep Neural Network Sentence Level Classification Method with Context Information
Abstract Shape Representation in Human Visual Perception
Convolution Kernels for Natural Language
probabilistic inference using markov chain monte carlo methods .