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Variational Inference

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TitleStatusHype
Multiple Clustering Views from Multiple Uncertain Experts—0
Multiple co-clustering based on nonparametric mixture models with heterogeneous marginal distributions—0
Multiple scan data association by convex variational inference—0
Multi-Response Heteroscedastic Gaussian Process Models and Their Inference—0
Learning Multiscale Non-stationary Causal Structures—0
Multi-Source Neural Variational Inference—0
Multi-task longitudinal forecasting with missing values on Alzheimer's Disease—0
Multivariate Gaussian Variational Inference by Natural Gradient Descent—0
Multi-View Image Generation from a Single-View—0
Multi-view information fusion using multi-view variational autoencoders to predict proximal femoral strength—0
Multiview Variational Deep Learning with Application to Scalable Indoor Localization—0
Natural Evolution Strategies as a Black Box Estimator for Stochastic Variational Inference—0
Natural Gradients in Practice: Non-Conjugate Variational Inference in Gaussian Process Models—0
Natural Gradient Variational Inference with Gaussian Mixture Models—0
Nearly Dimension-Independent Convergence of Mean-Field Black-Box Variational Inference—0
Nearly Optimal Variational Inference for High Dimensional Regression with Shrinkage Priors—0
Neighborhood Random Walk Graph Sampling for Regularized Bayesian Graph Convolutional Neural Networks—0
NEMR: Network Embedding on Metric of Relation—0
Nested Hierarchical Dirichlet Processes—0
Nested Variational Compression in Deep Gaussian Processes—0
Nested Variational Inference—0
Neural Adaptive Sequential Monte Carlo—0
Neural Dynamic Focused Topic Model—0
Neural Fast Full-Rank Spatial Covariance Analysis for Blind Source Separation—0
Neural information field filter—0
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