| Differentially Private Federated Variational Inference | Nov 24, 2019 | Bayesian InferenceFederated Learning | CodeCode Available | 0 |
| A Fully Natural Gradient Scheme for Improving Inference of the Heterogeneous Multi-Output Gaussian Process Model | Nov 22, 2019 | Gaussian ProcessesVariational Inference | CodeCode Available | 0 |
| Measuring Uncertainty through Bayesian Learning of Deep Neural Network Structure | Nov 22, 2019 | Bayesian InferenceNeural Architecture Search | CodeCode Available | 0 |
| Continual Learning with Adaptive Weights (CLAW) | Nov 21, 2019 | Continual LearningTransfer Learning | —Unverified | 0 |
| Exactly Sparse Gaussian Variational Inference with Application to Derivative-Free Batch Nonlinear State Estimation | Nov 9, 2019 | Simultaneous Localization and MappingState Estimation | —Unverified | 0 |
| Generalized Transformation-based Gradient | Nov 6, 2019 | Variational Inference | —Unverified | 0 |
| Don't Blame the ELBO! A Linear VAE Perspective on Posterior Collapse | Nov 6, 2019 | Variational Inference | —Unverified | 0 |
| GP-ALPS: Automatic Latent Process Selection for Multi-Output Gaussian Process Models | Nov 5, 2019 | Gaussian ProcessesVariational Inference | —Unverified | 0 |
| A Rule for Gradient Estimator Selection, with an Application to Variational Inference | Nov 5, 2019 | Variational Inference | —Unverified | 0 |
| Statistical Inference in Mean-Field Variational Bayes | Nov 4, 2019 | Variational Inference | —Unverified | 0 |
