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variational inference

2069 papers

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VI

Co-occurring keywords

bayesian inference (1904) gaussian process (1198) generative model (2889) variational autoencoder (1282) latent variable model (564) probabilistic modeling (851) representation learning (6174) uncertainty quantification (1365) latent variable (541) approximate inference (253)

Papers

Black-Box Policy Search with Probabilistic Programs AISTATS 2016
Provable Bayesian Inference via Particle Mirror Descent AISTATS 2016
Conditional Graphical Lasso for Multi-Label Image Classification CVPR 2016
Iterative Refinement of the Approximate Posterior for Directed Belief Networks NIPS 2016
Incremental Variational Sparse Gaussian Process Regression NIPS 2016
Select-and-Sample for Spike-and-Slab Sparse Coding NIPS 2016
Mixture of Bilateral-Projection Two-Dimensional Probabilistic Principal Component Analysis CVPR 2016
Globally Sparse Probabilistic PCA AISTATS 2016
Variational Gaussian Copula Inference AISTATS 2016
Sequential Inference for Deep Gaussian Process AISTATS 2016
Learning Sigmoid Belief Networks via Monte Carlo Expectation Maximization AISTATS 2016
Tight Variational Bounds via Random Projections and I-Projections AISTATS 2016
Early Stopping as Nonparametric Variational Inference AISTATS 2016
Stochastic Variational Inference for the HDP-HMM AISTATS 2016
A Fixed-Point Operator for Inference in Variational Bayesian Latent Gaussian Models AISTATS 2016
Variational Tempering AISTATS 2016
A Theoretically Grounded Application of Dropout in Recurrent Neural Networks NIPS 2016
Sequential Neural Models with Stochastic Layers NIPS 2016
Disease Trajectory Maps NIPS 2016
An Architecture for Deep, Hierarchical Generative Models NIPS 2016
Using Social Dynamics to Make Individual Predictions: Variational Inference with a Stochastic Kinetic Model NIPS 2016
Linear dynamical neural population models through nonlinear embeddings NIPS 2016
Rényi Divergence Variational Inference NIPS 2016
Variational Inference in Mixed Probabilistic Submodular Models NIPS 2016
Stein Variational Gradient Descent: A General Purpose Bayesian Inference Algorithm NIPS 2016