| Inducing Interpretable Representations with Variational Autoencoders | Nov 22, 2016 | General ClassificationVariational Inference | —Unverified | 0 |
| Variational Boosting: Iteratively Refining Posterior Approximations | Nov 20, 2016 | Variational Inference | CodeCode Available | 0 |
| Faster variational inducing input Gaussian process classification | Nov 18, 2016 | ClassificationDimensionality Reduction | —Unverified | 0 |
| Boosting Variational Inference | Nov 17, 2016 | Variational Inference | —Unverified | 0 |
| Deep Variational Inference Without Pixel-Wise Reconstruction | Nov 16, 2016 | Variational Inference | —Unverified | 0 |
| Using Social Dynamics to Make Individual Predictions: Variational Inference with a Stochastic Kinetic Model | Nov 7, 2016 | Variational Inference | —Unverified | 0 |
| Robustly representing uncertainty in deep neural networks through sampling | Nov 5, 2016 | Variational Inference | —Unverified | 0 |
| Information Dropout: Learning Optimal Representations Through Noisy Computation | Nov 4, 2016 | Representation LearningVariational Inference | CodeCode Available | 0 |
| Stochastic Variational Deep Kernel Learning | Nov 1, 2016 | Gaussian ProcessesGeneral Classification | —Unverified | 0 |
| Variational Inference via χ-Upper Bound Minimization | Nov 1, 2016 | Variational Inference | —Unverified | 0 |
