Models

Skip-Thought Vectors NeurIPS 2015 Sparse Submodular Probabilistic PCA AISTATS 2015 Sparse Variational Inference for Generalized GP Models ICML 2015 Stochastic Structured Variational Inference AISTATS 2015 Streaming Variational Inference for Bayesian Nonparametric Mixture Models AISTATS 2015 Texture Synthesis Using Convolutional Neural Networks NeurIPS 2015 The Poisson Gamma Belief Network NeurIPS 2015 The Return of the Gating Network: Combining Generative Models and Discriminative Training in Natural Image Priors NeurIPS 2015 Training Restricted Boltzmann Machine via the Thouless-Anderson-Palmer free energy NeurIPS 2015 Unsupervised Learning by Program Synthesis NeurIPS 2015 Unsupervised Semantic Parsing of Video Collections ICCV 2015 Variational Generative Stochastic Networks with Collaborative Shaping ICML 2015 Variational Inference for Gaussian Process Modulated Poisson Processes ICML 2015 Variational Inference with Normalizing Flows ICML 2015 Weight Uncertainty in Neural Network ICML 2015 A Complete Variational Tracker NeurIPS 2014 A Multiplicative Model for Learning Distributed Text-Based Attribute Representations NeurIPS 2014 Analysis of Variational Bayesian Latent Dirichlet Allocation: Weaker Sparsity Than MAP NeurIPS 2014 Automated Variational Inference for Gaussian Process Models NeurIPS 2014 Black Box Variational Inference AISTATS 2014 Blind Image Quality Assessment using Semi-supervised Rectifier Networks CVPR 2014 Convolutional Kernel Networks NeurIPS 2014 Decoupled Variational Gaussian Inference NeurIPS 2014 Deep AutoRegressive Networks ICML 2014 Deep Generative Stochastic Networks Trainable by Backprop ICML 2014