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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

Stochastic Variational Deep Kernel Learning NIPS 2016
Operator Variational Inference NIPS 2016
The Generalized Reparameterization Gradient NIPS 2016
A Field Model for Repairing 3D Shapes CVPR 2016
Scalable Gaussian Process Classification via Expectation Propagation AISTATS 2016
Analysis of Variational Bayesian Factorizations for Sparse and Low-Rank Estimation ICML 2016
Black-Box Alpha Divergence Minimization ICML 2016
Latent Point Process Allocation AISTATS 2016
On Sparse Variational Methods and the Kullback-Leibler Divergence between Stochastic Processes AISTATS 2016
Ladder Variational Autoencoders NIPS 2016
Variational Bayes on Monte Carlo Steroids NIPS 2016
Predicting Disease Progression with a Model for Multivariate Longitudinal Clinical Data MLHC 2016
From Noise Modeling to Blind Image Denoising CVPR 2016
Clamping Improves TRW and Mean Field Approximations AISTATS 2016
Approximate maximum entropy principles via Goemans-Williamson with applications to provable variational methods NIPS 2016
Understanding Probabilistic Sparse Gaussian Process Approximations NIPS 2016
Variational Information Maximization for Feature Selection NIPS 2016
Cooperative Graphical Models NIPS 2016
Composing graphical models with neural networks for structured representations and fast inference NIPS 2016
Relevant sparse codes with variational information bottleneck NIPS 2016
Determinantal Regularization for Ensemble Variable Selection AISTATS 2016
VIME: Variational Information Maximizing Exploration NIPS 2016
Distributed Flexible Nonlinear Tensor Factorization NIPS 2016
Measuring the reliability of MCMC inference with bidirectional Monte Carlo NIPS 2016
Geometric Dirichlet Means Algorithm for topic inference NIPS 2016