| Stochastic Variational Deep Kernel Learning | Nov 1, 2016 | Gaussian ProcessesGeneral Classification | —Unverified | 0 |
| Geometric Dirichlet Means algorithm for topic inference | Oct 27, 2016 | ClusteringVariational Inference | —Unverified | 0 |
| Operator Variational Inference | Oct 27, 2016 | Bayesian InferenceVariational Inference | —Unverified | 0 |
| Stratification of patient trajectories using covariate latent variable models | Oct 27, 2016 | Variational Inference | CodeCode Available | 0 |
| Rapid Posterior Exploration in Bayesian Non-negative Matrix Factorization | Oct 27, 2016 | Variational Inference | —Unverified | 0 |
| Mean-Field Variational Inference for Gradient Matching with Gaussian Processes | Oct 21, 2016 | Gaussian ProcessesVariational Inference | —Unverified | 0 |
| Reparameterization Gradients through Acceptance-Rejection Sampling Algorithms | Oct 18, 2016 | Bayesian InferenceStochastic Optimization | CodeCode Available | 0 |
| Random Feature Expansions for Deep Gaussian Processes | Oct 14, 2016 | Gaussian ProcessesVariational Inference | CodeCode Available | 0 |
| Amortised MAP Inference for Image Super-resolution | Oct 14, 2016 | DenoisingImage Super-Resolution | —Unverified | 0 |
| The Generalized Reparameterization Gradient | Oct 7, 2016 | Variational Inference | —Unverified | 0 |
