| Variational Inference with Numerical Derivatives: variance reduction through coupling | Jun 17, 2019 | Variational Inference | CodeCode Available | 0 |
| Analyses of Multi-collection Corpora via Compound Topic Modeling | Jun 17, 2019 | Topic ModelsVariational Inference | CodeCode Available | 0 |
| Multi-Adversarial Variational Autoencoder Networks | Jun 14, 2019 | ClusteringGeneral Classification | —Unverified | 0 |
| Variational Federated Multi-Task Learning | Jun 14, 2019 | Federated LearningMulti-Task Learning | —Unverified | 0 |
| Overcoming Mean-Field Approximations in Recurrent Gaussian Process Models | Jun 13, 2019 | Variational Inference | CodeCode Available | 0 |
| Reweighted Expectation Maximization | Jun 13, 2019 | Bayesian InferenceDensity Estimation | CodeCode Available | 0 |
| Learning Deep Generative Models with Annealed Importance Sampling | Jun 12, 2019 | Variational Inference | CodeCode Available | 0 |
| Neural Variational Inference For Estimating Uncertainty in Knowledge Graph Embeddings | Jun 12, 2019 | Knowledge Graph EmbeddingsKnowledge Graphs | CodeCode Available | 0 |
| Specifying Weight Priors in Bayesian Deep Neural Networks with Empirical Bayes | Jun 12, 2019 | Activity RecognitionAudio Classification | CodeCode Available | 0 |
| Coupled Variational Recurrent Collaborative Filtering | Jun 11, 2019 | Collaborative FilteringRecommendation Systems | CodeCode Available | 0 |
