| Streamlining Variational Inference for Constraint Satisfaction Problems | Nov 24, 2018 | SurveyVariational Inference | CodeCode Available | 0 |
| Joint Mapping and Calibration via Differentiable Sensor Fusion | Nov 21, 2018 | ClusteringProbabilistic Programming | —Unverified | 0 |
| Black-Box Autoregressive Density Estimation for State-Space Models | Nov 20, 2018 | Bayesian InferenceDeep Learning | —Unverified | 0 |
| Mixed Likelihood Gaussian Process Latent Variable Model | Nov 19, 2018 | modelVariational Inference | CodeCode Available | 0 |
| A Variational Dirichlet Framework for Out-of-Distribution Detection | Nov 18, 2018 | Out-of-Distribution DetectionVariational Inference | —Unverified | 0 |
| The Theory and Algorithm of Ergodic Inference | Nov 17, 2018 | BIG-bench Machine LearningVariational Inference | —Unverified | 0 |
| Projected BNNs: Avoiding weight-space pathologies by learning latent representations of neural network weights | Nov 16, 2018 | Variational Inference | —Unverified | 0 |
| Dependency Grammar Induction with a Neural Variational Transition-based Parser | Nov 14, 2018 | Dependency Grammar InductionVariational Inference | —Unverified | 0 |
| A General Method for Amortizing Variational Filtering | Nov 13, 2018 | Inference OptimizationVariational Inference | CodeCode Available | 0 |
| Learning Latent Dynamics for Planning from Pixels | Nov 12, 2018 | continuous-controlContinuous Control | CodeCode Available | 1 |
