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Variational Inference

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TitleStatusHype
Incorporating Word Correlation Knowledge into Topic Modeling—0
Early Gains Matter: A Case for Preferring Generative over Discriminative Crowdsourcing Models—0
On Sparse variational methods and the Kullback-Leibler divergence between stochastic processes—0
Online Inference for Relation Extraction with a Reduced Feature Set—0
Early Stopping is Nonparametric Variational InferenceCode0
On some provably correct cases of variational inference for topic models—0
Indian Buffet process for model selection in convolved multiple-output Gaussian processesCode0
Improving the Gaussian Process Sparse Spectrum Approximation by Representing Uncertainty in Frequency InputsCode0
Latent Gaussian Processes for Distribution Estimation of Multivariate Categorical DataCode0
Local Expectation Gradients for Doubly Stochastic Variational Inference—0
Bethe Projections for Non-Local Inference—0
Scalable Variational Inference in Log-supermodular Models—0
Nested Variational Compression in Deep Gaussian Processes—0
Decoupled Variational Gaussian Inference—0
Automated Variational Inference for Gaussian Process Models—0
Clustered factor analysis of multineuronal spike data—0
A Filtering Approach to Stochastic Variational Inference—0
Content-based recommendations with Poisson factorizationCode0
From MAP to Marginals: Variational Inference in Bayesian Submodular Models—0
Iterative Neural Autoregressive Distribution Estimator NADE-kCode0
Streaming Variational Inference for Bayesian Nonparametric Mixture Models—0
Learning Stochastic Recurrent NetworksCode1
Group Factor Analysis—0
A Nonparametric Bayesian Approach Toward Stacked Convolutional Independent Component Analysis—0
Deep Exponential Families—0
Beta Process Non-negative Matrix Factorization with Stochastic Structured Mean-Field Variational Inference—0
Variational Tempering—0
Stochastic Variational Inference for Hidden Markov Models—0
Population Empirical BayesCode0
Variational Inference for Gaussian Process Modulated Poisson Processes—0
Markov Chain Monte Carlo and Variational Inference: Bridging the Gap—0
Hierarchical models for neural population dynamics in the presence of non-stationarity—0
Bayesian Robust Tensor Factorization for Incomplete Multiway Data—0
Gamma Processes, Stick-Breaking, and Variational Inference—0
BayesPy: Variational Bayesian Inference in Python—0
A Bayesian Tensor Factorization Model via Variational Inference for Link Prediction—0
Expectation Propagation—0
Variational Inference for Uncertainty on the Inputs of Gaussian Process Models—0
Bayesian Probabilistic Matrix Factorization: A User Frequency Analysis—0
Variational Gaussian Process State-Space Models—0
Lifted Tree-Reweighted Variational Inference—0
Smoothed Gradients for Stochastic Variational Inference—0
Variational inference of latent state sequences using Recurrent Networks—0
Iterative Neural Autoregressive Distribution Estimator (NADE-k)Code0
Beta Process Multiple Kernel Learning—0
Structured Stochastic Variational Inference—0
Venture: a higher-order probabilistic programming platform with programmable inference—0
Approximate Decentralized Bayesian Inference—0
Variational Particle Approximations—0
Indian Buffet Process Deep Generative Models for Semi-Supervised Classification—0
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