| BIISQ: Bayesian nonparametric discovery of Isoforms and Individual Specific Quantification | Mar 24, 2017 | DiversityVariational Inference | CodeCode Available | 0 |
| Nonparametric Variational Auto-encoders for Hierarchical Representation Learning | Mar 21, 2017 | ClusteringRepresentation Learning | —Unverified | 0 |
| A Deterministic Global Optimization Method for Variational Inference | Mar 21, 2017 | global-optimizationVariational Inference | —Unverified | 0 |
| Matched bipartite block model with covariates | Mar 15, 2017 | ClusteringCommunity Detection | —Unverified | 0 |
| Conjugate-Computation Variational Inference : Converting Variational Inference in Non-Conjugate Models to Inferences in Conjugate Models | Mar 13, 2017 | Variational Inference | CodeCode Available | 0 |
| Dropout Inference in Bayesian Neural Networks with Alpha-divergences | Mar 8, 2017 | Variational Inference | CodeCode Available | 0 |
| Gauging Variational Inference | Mar 3, 2017 | Variational Inference | —Unverified | 0 |
| Hierarchical Implicit Models and Likelihood-Free Variational Inference | Feb 28, 2017 | Generative Adversarial NetworkText Generation | —Unverified | 0 |
| Dynamic Word Embeddings | Feb 27, 2017 | Language ModelingLanguage Modelling | CodeCode Available | 0 |
| Semi-parametric Network Structure Discovery Models | Feb 27, 2017 | Uncertainty QuantificationVariational Inference | —Unverified | 0 |
