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Variational Inference

1946 directly classified papers

Papers per year

Papers

Generating Images with Perceptual Similarity Metrics based on Deep Networks NIPS 2016
The Generalized Reparameterization Gradient NIPS 2016
Variational Generative Stochastic Networks with Collaborative Shaping ICML 2015
Embed to Control: A Locally Linear Latent Dynamics Model for Control from Raw Images NIPS 2015
A Recurrent Latent Variable Model for Sequential Data NIPS 2015
Variational Inference with Normalizing Flows ICML 2015
Scalable Variational Inference in Log-supermodular Models ICML 2015
Local Expectation Gradients for Black Box Variational Inference NIPS 2015
Barrier Frank-Wolfe for Marginal Inference NIPS 2015
Streaming Variational Inference for Bayesian Nonparametric Mixture Models AISTATS 2015
Sensor Selection for Crowdsensing Dynamical Systems AISTATS 2015
Sparse Submodular Probabilistic PCA AISTATS 2015
Reliable and Scalable Variational Inference for the Hierarchical Dirichlet Process AISTATS 2015
Stochastic Structured Variational Inference AISTATS 2015
Scalable Variational Gaussian Process Classification AISTATS 2015
Weight Uncertainty in Neural Network ICML 2015
DRAW: A Recurrent Neural Network For Image Generation ICML 2015
Sparse Variational Inference for Generalized GP Models ICML 2015
Markov Chain Monte Carlo and Variational Inference: Bridging the Gap ICML 2015
Learning Deep Sigmoid Belief Networks with Data Augmentation AISTATS 2015
Bounding errors of Expectation-Propagation NIPS 2015
Efficient Minimal-Surface Regularization of Perspective Depth Maps in Variational Stereo CVPR 2015
Max-Margin Deep Generative Models NIPS 2015
On some provably correct cases of variational inference for topic models NIPS 2015
Automatic Variational Inference in Stan NIPS 2015