| Solving Bayesian Inverse Problems via Variational Autoencoders | Dec 5, 2019 | Uncertainty QuantificationVariational Inference | —Unverified | 0 |
| Scalable Bayesian Preference Learning for Crowds | Dec 4, 2019 | Gaussian ProcessesVariational Inference | CodeCode Available | 0 |
| Hierarchical Indian Buffet Neural Networks for Bayesian Continual Learning | Dec 4, 2019 | Continual LearningVariational Inference | —Unverified | 0 |
| Deep Probabilistic Models to Detect Data Poisoning Attacks | Dec 3, 2019 | Data PoisoningVariational Inference | —Unverified | 0 |
| Stochastic Variational Inference via Upper Bound | Dec 2, 2019 | Variational Inference | —Unverified | 0 |
| Efficient Approximate Inference with Walsh-Hadamard Variational Inference | Nov 29, 2019 | Bayesian InferenceGaussian Processes | —Unverified | 0 |
| Neural Latent Space Model for Dynamic Networks and Temporal Knowledge Graphs | Nov 26, 2019 | Knowledge GraphsRepresentation Learning | —Unverified | 0 |
| 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 |
