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Variational Inference

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TitleStatusHype
Stochastic Collapsed Variational Inference for Sequential Data—0
Stochastic Collapsed Variational Inference for Hidden Markov Models—0
Higher-Order Inference for Multi-Class Log-Supermodular Models—0
Kullback-Leibler Proximal Variational Inference—0
Fast Second Order Stochastic Backpropagation for Variational Inference—0
Local Expectation Gradients for Black Box Variational Inference—0
High-dimensional neural spike train analysis with generalized count linear dynamical systemsCode0
Scalable Inference for Gaussian Process Models with Black-Box Likelihoods—0
Learning Stationary Time Series using Gaussian Processes with Nonparametric Kernels—0
Black box variational inference for state space modelsCode0
The Variational Gaussian Process—0
Principled Parallel Mean-Field Inference for Discrete Random Fields—0
Neural Variational Inference for Text ProcessingCode0
Adversarial AutoencodersCode1
Stochastic Expectation Propagation for Large Scale Gaussian Process Classification—0
Hierarchical Variational ModelsCode0
Barrier Frank-Wolfe for Marginal InferenceCode0
Faster Stochastic Variational Inference using Proximal-Gradient Methods with General Divergence Functions—0
Streaming, Distributed Variational Inference for Bayesian Nonparametrics—0
Testing Visual Attention in Dynamic Environments—0
Multiple co-clustering based on nonparametric mixture models with heterogeneous marginal distributions—0
Accelerometer based Activity Classification with Variational Inference on Sticky HDP-SLDS—0
Scalable MCMC for Mixed Membership Stochastic Blockmodels—0
Embarrassingly Parallel Variational Inference in Nonconjugate Models—0
Tight Variational Bounds via Random Projections and I-Projections—0
Variational Information Maximisation for Intrinsically Motivated Reinforcement LearningCode0
Dynamic Poisson Factorization—0
Fast Second-Order Stochastic Backpropagation for Variational Inference—0
A Variational Bayesian State-Space Approach to Online Passive-Aggressive Regression—0
Stochastic gradient variational Bayes for gamma approximating distributionsCode0
Tag-Weighted Topic Model For Large-scale Semi-Structured Documents—0
Incremental Variational Inference for Latent Dirichlet Allocation—0
On the Convergence of Stochastic Variational Inference in Bayesian Networks—0
Scalable Bayesian Inference for Excitatory Point Process NetworksCode0
Inference for determinantal point processes without spectral knowledge—0
D-MFVI: Distributed Mean Field Variational Inference using Bregman ADMM—0
Correlated Random Measures—0
Variational Inference for Background Subtraction in Infrared Imagery—0
An Empirical Study of Stochastic Variational Algorithms for the Beta Bernoulli Process—0
Stochastic Expectation Propagation—0
Automatic Variational Inference in Stan—0
Copula variational inference—0
Neural Adaptive Sequential Monte Carlo—0
Bayesian Convolutional Neural Networks with Bernoulli Approximate Variational InferenceCode0
Celeste: Variational inference for a generative model of astronomical images—0
A trust-region method for stochastic variational inference with applications to streaming data—0
Automatic Relevance Determination For Deep Generative Models—0
Stochastic Annealing for Variational Inference—0
Variational Inference with Normalizing FlowsCode0
Spike and Slab Gaussian Process Latent Variable Models—0
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