approximate inference

Expectation Propagation for Rectified Linear Poisson Regression ACML 2015 Gaussian Process Random Fields NeurIPS 2015 Learning Fast-Mixing Models for Structured Prediction ICML 2015 Learning with Relaxed Supervision NeurIPS 2015 Message Passing for Collective Graphical Models ICML 2015 Reified Context Models ICML 2015 A Deep and Tractable Density Estimator ICML 2014 A Filtering Approach to Stochastic Variational Inference NeurIPS 2014 Automated Variational Inference for Gaussian Process Models NeurIPS 2014 Clamping Variables and Approximate Inference NeurIPS 2014 Dependent nonparametric trees for dynamic hierarchical clustering NeurIPS 2014 Effective Bayesian Modeling of Groups of Related Count Time Series ICML 2014 Efficient Inference for Complex Queries on Complex Distributions AISTATS 2014 Extended and Unscented Gaussian Processes NeurIPS 2014 Fast Approximate Inference in Higher Order MRF-MAP Labeling Problems CVPR 2014 Fully Simplified Multivariate Normal Updates in Non-Conjugate Variational Message Passing JMLR 2014 Incremental Local Gaussian Regression NeurIPS 2014 Incremental Tree-Based Inference with Dependent Normalized Random Measures AISTATS 2014 Inferning with High Girth Graphical Models ICML 2014 Just-In-Time Learning for Fast and Flexible Inference NeurIPS 2014 Making Pairwise Binary Graphical Models Attractive NeurIPS 2014 On Prior Distributions and Approximate Inference for Structured Variables NeurIPS 2014 Semi-supervised Learning with Deep Generative Models NeurIPS 2014 Signal Aggregate Constraints in Additive Factorial HMMs, with Application to Energy Disaggregation NeurIPS 2014 Stochastic Backpropagation and Approximate Inference in Deep Generative Models ICML 2014