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Variational Inference

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TitleStatusHype
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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