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Variational Inference

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TitleStatusHype
Stochastic Variational Deep Kernel Learning—0
Geometric Dirichlet Means algorithm for topic inference—0
Operator Variational Inference—0
Stratification of patient trajectories using covariate latent variable modelsCode0
Rapid Posterior Exploration in Bayesian Non-negative Matrix Factorization—0
Mean-Field Variational Inference for Gradient Matching with Gaussian Processes—0
Reparameterization Gradients through Acceptance-Rejection Sampling AlgorithmsCode0
Random Feature Expansions for Deep Gaussian ProcessesCode0
Amortised MAP Inference for Image Super-resolution—0
The Generalized Reparameterization Gradient—0
Algorithms for item categorization based on ordinal ranking data—0
Variational Inference with Hamiltonian Monte Carlo—0
Gray-box inference for structured Gaussian process models—0
Private Topic Modeling—0
Efficient Continuous Relaxations for Dense CRF—0
Dynamic Collaborative Filtering with Compound Poisson Factorization—0
Scalable Modeling of Multivariate Longitudinal Data for Prediction of Chronic Kidney Disease Progression—0
Scaling Factorial Hidden Markov Models: Stochastic Variational Inference without Messages—0
Multiple scan data association by convex variational inference—0
Combining Random Walks and Nonparametric Bayesian Topic Model for Community Detection—0
Stochastic Backpropagation through Mixture Density Distributions—0
Unsupervised Learning with Imbalanced Data via Structure Consolidation Latent Variable Model—0
Disease Trajectory Maps—0
Automatic Variational ABC—0
Spreadsheet Probabilistic Programming—0
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