| Langevin Dynamics as Nonparametric Variational Inference | Oct 16, 2019 | Variational Inference | —Unverified | 0 |
| Bijectors.jl: Flexible transformations for probability distributions | Oct 16, 2019 | Bayesian InferenceVariational Inference | CodeCode Available | 0 |
| Sequential Learning for Dirichlet Process Mixtures | Oct 16, 2019 | Variational Inference | —Unverified | 0 |
| Parametric Gaussian Process Regressors | Oct 16, 2019 | regressionVariational Inference | —Unverified | 0 |
| Regularized Sparse Gaussian Processes | Oct 13, 2019 | Facial Expression Recognition (FER)Gaussian Processes | —Unverified | 0 |
| Validated Variational Inference via Practical Posterior Error Bounds | Oct 9, 2019 | Bayesian InferenceVariational Inference | CodeCode Available | 1 |
| High Mutual Information in Representation Learning with Symmetric Variational Inference | Oct 4, 2019 | DecoderRepresentation Learning | —Unverified | 0 |
| Streamlined Variational Inference for Linear Mixed Models with Crossed Random Effects | Oct 4, 2019 | Variational Inference | —Unverified | 0 |
| Nonasymptotic estimates for Stochastic Gradient Langevin Dynamics under local conditions in nonconvex optimization | Oct 4, 2019 | Bayesian InferenceVariational Inference | —Unverified | 0 |
| The Neural Moving Average Model for Scalable Variational Inference of State Space Models | Oct 2, 2019 | Bayesian InferenceNormalising Flows | CodeCode Available | 0 |
