| Local Expectation Gradients for Black Box Variational Inference | Dec 1, 2015 | Variational Inference | —Unverified | 0 |
| Fast Second Order Stochastic Backpropagation for Variational Inference | Dec 1, 2015 | regressionVariational Inference | —Unverified | 0 |
| Scalable Inference for Gaussian Process Models with Black-Box Likelihoods | Dec 1, 2015 | General Classificationregression | —Unverified | 0 |
| Learning Stationary Time Series using Gaussian Processes with Nonparametric Kernels | Dec 1, 2015 | DenoisingGaussian Processes | —Unverified | 0 |
| Black box variational inference for state space models | Nov 23, 2015 | State Space ModelsTime Series | CodeCode Available | 0 |
| The Variational Gaussian Process | Nov 20, 2015 | Representation LearningVariational Inference | —Unverified | 0 |
| Neural Variational Inference for Text Processing | Nov 19, 2015 | Answer SelectionQuestion Answering | CodeCode Available | 0 |
| Principled Parallel Mean-Field Inference for Discrete Random Fields | Nov 19, 2015 | Variational Inference | —Unverified | 0 |
| Stochastic Expectation Propagation for Large Scale Gaussian Process Classification | Nov 10, 2015 | ClassificationGeneral Classification | —Unverified | 0 |
| Hierarchical Variational Models | Nov 7, 2015 | Computational EfficiencyVariational Inference | CodeCode Available | 0 |
