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Variational Inference

1,952 papers

Papers per year

2
9
31
252
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Papers

Efficient Minimal-Surface Regularization of Perspective Depth Maps in Variational Stereo CVPR 2015
Markov Chain Monte Carlo and Variational Inference: Bridging the Gap ICML 2015
Sparse Variational Inference for Generalized GP Models ICML 2015
DRAW: A Recurrent Neural Network For Image Generation ICML 2015
Variational Inference with Normalizing Flows ICML 2015
Weight Uncertainty in Neural Network ICML 2015
Scalable Variational Inference in Log-supermodular Models ICML 2015
Variational Inference for Gaussian Process Modulated Poisson Processes ICML 2015
Probabilistic Backpropagation for Scalable Learning of Bayesian Neural Networks ICML 2015
Variational Generative Stochastic Networks with Collaborative Shaping ICML 2015
Celeste: Variational inference for a generative model of astronomical images ICML 2015
Condition for Perfect Dimensionality Recovery by Variational Bayesian PCA JMLR 2015
A Complete Variational Tracker NIPS 2014
Decoupled Variational Gaussian Inference NIPS 2014
Improved Multimodal Deep Learning with Variation of Information NIPS 2014
Analysis of Variational Bayesian Latent Dirichlet Allocation: Weaker Sparsity Than MAP NIPS 2014
Automated Variational Inference for Gaussian Process Models NIPS 2014
Iterative Neural Autoregressive Distribution Estimator NADE-k NIPS 2014
Variational Gaussian Inference for Bilinear Models of Count Data ACML 2014
Black Box Variational Inference AISTATS 2014
Stochastic Backpropagation and Approximate Inference in Deep Generative Models ICML 2014
Efficient Gradient-Based Inference through Transformations between Bayes Nets and Neural Nets ICML 2014
Neural Variational Inference and Learning in Belief Networks ICML 2014
Doubly Stochastic Variational Bayes for non-Conjugate Inference ICML 2014
A Scalable Approach to Probabilistic Latent Space Inference of Large-Scale Networks NIPS 2013