| Deep Probabilistic Ensembles: Approximate Variational Inference through KL Regularization | Nov 6, 2018 | Active LearningGeneral Classification | —Unverified | 0 |
| Fast Non-Bayesian Poisson Factorization for Implicit-Feedback Recommendations | Nov 5, 2018 | Recommendation SystemsVariational Inference | CodeCode Available | 0 |
| DAPPER: Scaling Dynamic Author Persona Topic Model to Billion Word Corpora | Nov 3, 2018 | Variational Inference | CodeCode Available | 0 |
| Large-scale Heteroscedastic Regression via Gaussian Process | Nov 3, 2018 | regressionVariational Inference | —Unverified | 0 |
| VIREL: A Variational Inference Framework for Reinforcement Learning | Nov 3, 2018 | reinforcement-learningReinforcement Learning | CodeCode Available | 0 |
| Gaussian Process Conditional Density Estimation | Oct 30, 2018 | Density EstimationFew-Shot Learning | —Unverified | 0 |
| Using Large Ensembles of Control Variates for Variational Inference | Oct 30, 2018 | Stochastic OptimizationVariational Inference | —Unverified | 0 |
| Semi-crowdsourced Clustering with Deep Generative Models | Oct 29, 2018 | ClusteringVariational Inference | CodeCode Available | 0 |
| Kalman Gradient Descent: Adaptive Variance Reduction in Stochastic Optimization | Oct 29, 2018 | BIG-bench Machine LearningStochastic Optimization | CodeCode Available | 0 |
| Variational Inference with Tail-adaptive f-Divergence | Oct 29, 2018 | Deep Reinforcement LearningReinforcement Learning | CodeCode Available | 0 |
