| Stochastic Collapsed Variational Inference for Sequential Data | Dec 5, 2015 | Variational Inference | —Unverified | 0 |
| Stochastic Collapsed Variational Inference for Hidden Markov Models | Dec 5, 2015 | Variational Inference | —Unverified | 0 |
| Higher-Order Inference for Multi-Class Log-Supermodular Models | Dec 1, 2015 | Image SegmentationSemantic Segmentation | —Unverified | 0 |
| Kullback-Leibler Proximal Variational Inference | Dec 1, 2015 | Variational Inference | —Unverified | 0 |
| Fast Second Order Stochastic Backpropagation for Variational Inference | Dec 1, 2015 | regressionVariational Inference | —Unverified | 0 |
| Local Expectation Gradients for Black Box Variational Inference | Dec 1, 2015 | Variational Inference | —Unverified | 0 |
| High-dimensional neural spike train analysis with generalized count linear dynamical systems | Dec 1, 2015 | Variational Inference | CodeCode Available | 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 |
