| Scalable Bayesian Learning for State Space Models using Variational Inference with SMC Samplers | May 23, 2018 | Bayesian InferenceState Space Models | —Unverified | 0 |
| Amortized Context Vector Inference for Sequence-to-Sequence Networks | May 23, 2018 | Document SummarizationVariational Inference | —Unverified | 0 |
| Bayesian posterior approximation via greedy particle optimization | May 21, 2018 | Bayesian InferenceVariational Inference | —Unverified | 0 |
| Heterogeneous Multi-output Gaussian Process Prediction | May 19, 2018 | Gaussian ProcessesPrediction | CodeCode Available | 0 |
| Sampling-Free Variational Inference of Bayesian Neural Networks by Variance Backpropagation | May 19, 2018 | Variational Inference | CodeCode Available | 0 |
| Approximate Bayesian inference in spatial environments | May 18, 2018 | Bayesian InferenceDecision Making | —Unverified | 0 |
| A Forest Mixture Bound for Block-Free Parallel Inference | May 17, 2018 | Variational Inference | —Unverified | 0 |
| NASH: Toward End-to-End Neural Architecture for Generative Semantic Hashing | May 14, 2018 | Information RetrievalRetrieval | CodeCode Available | 0 |
| Reinforcement Learning and Control as Probabilistic Inference: Tutorial and Review | May 2, 2018 | Decision Makingreinforcement-learning | CodeCode Available | 1 |
| Alpha-Beta Divergence For Variational Inference | May 2, 2018 | Variational Inference | —Unverified | 0 |
