variational inference

Celeste: Variational inference for a generative model of astronomical images ICML 2015 Condition for Perfect Dimensionality Recovery by Variational Bayesian PCA JMLR 2015 Consensus Message Passing for Layered Graphical Models AISTATS 2015 Consistent estimation of dynamic and multi-layer block models ICML 2015 Copula variational inference NeurIPS 2015 Decomposition Bounds for Marginal MAP NeurIPS 2015 Deep Convolutional Inverse Graphics Network NeurIPS 2015 Deep Exponential Families AISTATS 2015 Deep Poisson Factor Modeling NeurIPS 2015 Deep Temporal Sigmoid Belief Networks for Sequence Modeling NeurIPS 2015 Entropic Graph-based Posterior Regularization ICML 2015 Entropy-Based Latent Structured Output Prediction ICCV 2015 Fast Second Order Stochastic Backpropagation for Variational Inference NeurIPS 2015 Gamma Processes, Stick-Breaking, and Variational Inference AISTATS 2015 HawkesTopic: A Joint Model for Network Inference and Topic Modeling from Text-Based Cascades ICML 2015 High-dimensional neural spike train analysis with generalized count linear dynamical systems NeurIPS 2015 Higher-Order Inference for Multi-Class Log-Supermodular Models ICCV 2015 Improving the Gaussian Process Sparse Spectrum Approximation by Representing Uncertainty in Frequency Inputs ICML 2015 Inference for determinantal point processes without spectral knowledge NeurIPS 2015 Kullback-Leibler Proximal Variational Inference NeurIPS 2015 Large-scale Distributed Dependent Nonparametric Trees ICML 2015 Latent Gaussian Processes for Distribution Estimation of Multivariate Categorical Data ICML 2015 Learning Deep Sigmoid Belief Networks with Data Augmentation AISTATS 2015 Learning Stationary Time Series using Gaussian Processes with Nonparametric Kernels NeurIPS 2015 Learning Structured Output Representation using Deep Conditional Generative Models NeurIPS 2015