| Metropolis-Hastings view on variational inference and adversarial training | Oct 16, 2018 | Bayesian InferenceVariational Inference | —Unverified | 0 |
| The Deep Weight Prior | Oct 16, 2018 | Bayesian InferenceVariational Inference | CodeCode Available | 0 |
| Deterministic Variational Inference for Robust Bayesian Neural Networks | Oct 9, 2018 | Variational Inference | CodeCode Available | 0 |
| Doubly Reparameterized Gradient Estimators for Monte Carlo Objectives | Oct 9, 2018 | Variational Inference | CodeCode Available | 0 |
| Deep Diffeomorphic Normalizing Flows | Oct 8, 2018 | Density EstimationVariational Inference | —Unverified | 0 |
| Doubly Semi-Implicit Variational Inference | Oct 5, 2018 | Variational Inference | —Unverified | 0 |
| Differentiable Antithetic Sampling for Variance Reduction in Stochastic Variational Inference | Oct 5, 2018 | Stochastic OptimizationVariational Inference | CodeCode Available | 0 |
| GraphBTM: Graph Enhanced Autoencoded Variational Inference for Biterm Topic Model | Oct 1, 2018 | Recommendation SystemsTopic Models | CodeCode Available | 0 |
| Compiling Stan to Generative Probabilistic Languages and Extension to Deep Probabilistic Programming | Sep 30, 2018 | Probabilistic ProgrammingRepresentation Learning | CodeCode Available | 0 |
| Improved Gradient-Based Optimization Over Discrete Distributions | Sep 29, 2018 | Variational Inference | —Unverified | 0 |
| Variational Bayesian Inference for Audio-Visual Tracking of Multiple Speakers | Sep 28, 2018 | Bayesian InferenceVariational Inference | —Unverified | 0 |
| Probabilistic Knowledge Graph Embeddings | Sep 27, 2018 | Knowledge Graph EmbeddingsKnowledge Graphs | —Unverified | 0 |
| Variance reduction properties of the reparameterization trick | Sep 27, 2018 | Variational Inference | —Unverified | 0 |
| Ergodic Measure Preserving Flows | Sep 27, 2018 | Variational Inference | —Unverified | 0 |
| Deep Probabilistic Video Compression | Sep 27, 2018 | DiversityImage Compression | —Unverified | 0 |
| A NOVEL VARIATIONAL FAMILY FOR HIDDEN NON-LINEAR MARKOV MODELS | Sep 27, 2018 | Time SeriesTime Series Analysis | —Unverified | 0 |
| Improved Gradient Estimators for Stochastic Discrete Variables | Sep 27, 2018 | Variational Inference | —Unverified | 0 |
| Practical bounds on the error of Bayesian posterior approximations: A nonasymptotic approach | Sep 25, 2018 | Bayesian InferenceVariational Inference | —Unverified | 0 |
| Orthogonally Decoupled Variational Gaussian Processes | Sep 24, 2018 | Gaussian ProcessesVariational Inference | CodeCode Available | 0 |
| Predictive Collective Variable Discovery with Deep Bayesian Models | Sep 18, 2018 | Bayesian InferenceVariational Inference | CodeCode Available | 0 |
| Measuring Systematic Risk with Neural Network Factor Model | Sep 13, 2018 | Feature Engineeringmodel | —Unverified | 0 |
| Bayesian Semi-supervised Learning with Graph Gaussian Processes | Sep 12, 2018 | Active LearningGaussian Processes | CodeCode Available | 0 |
| Endowing Robots with Longer-term Autonomy by Recovering from External Disturbances in Manipulation through Grounded Anomaly Classification and Recovery Policies | Sep 11, 2018 | Anomaly ClassificationGeneral Classification | —Unverified | 0 |
| Collapsed Variational Inference for Nonparametric Bayesian Group Factor Analysis | Sep 10, 2018 | Variational Inference | CodeCode Available | 0 |
| Classification by Re-generation: Towards Classification Based on Variational Inference | Sep 10, 2018 | ClassificationDecoder | CodeCode Available | 0 |