| Scalable Multi-Class Bayesian Support Vector Machines for Structured and Unstructured Data | Jun 7, 2018 | Active LearningGeneral Classification | —Unverified | 0 |
| Finding Convincing Arguments Using Scalable Bayesian Preference Learning | Jun 6, 2018 | Active LearningVariational Inference | CodeCode Available | 0 |
| Boosting Black Box Variational Inference | Jun 6, 2018 | Variational Inference | CodeCode Available | 0 |
| Pathwise Derivatives for Multivariate Distributions | Jun 5, 2018 | Variational Inference | —Unverified | 0 |
| Cycle-Consistent Adversarial Learning as Approximate Bayesian Inference | Jun 5, 2018 | Bayesian InferenceVariational Inference | —Unverified | 0 |
| Pathwise Derivatives Beyond the Reparameterization Trick | Jun 5, 2018 | regressionVariational Inference | CodeCode Available | 0 |
| Reparameterization Gradient for Non-differentiable Models | Jun 1, 2018 | Variational Inference | CodeCode Available | 0 |
| Cyberattack Detection using Deep Generative Models with Variational Inference | May 31, 2018 | Variational Inference | —Unverified | 0 |
| Forward Amortized Inference for Likelihood-Free Variational Marginalization | May 29, 2018 | General ClassificationVariational Inference | —Unverified | 0 |
| Disentangling by Partitioning: A Representation Learning Framework for Multimodal Sensory Data | May 29, 2018 | Representation LearningVariational Inference | —Unverified | 0 |
