| Variational Sequential Monte Carlo | May 31, 2017 | Bayesian InferenceState Space Models | CodeCode Available | 0 |
| Latent Intention Dialogue Models | May 29, 2017 | reinforcement-learningReinforcement Learning | CodeCode Available | 0 |
| Kernel Implicit Variational Inference | May 29, 2017 | General Classificationregression | —Unverified | 0 |
| Efficient Modeling of Latent Information in Supervised Learning using Gaussian Processes | May 27, 2017 | Gaussian ProcessesVariational Inference | CodeCode Available | 0 |
| Neural Models for Documents with Metadata | May 25, 2017 | ArticlesTopic Models | CodeCode Available | 0 |
| Doubly Stochastic Variational Inference for Deep Gaussian Processes | May 24, 2017 | Gaussian ProcessesGeneral Classification | CodeCode Available | 0 |
| Proximity Variational Inference | May 24, 2017 | Variational Inference | CodeCode Available | 0 |
| Reducing Reparameterization Gradient Variance | May 22, 2017 | Variational Inference | CodeCode Available | 0 |
| AIDE: An algorithm for measuring the accuracy of probabilistic inference algorithms | May 19, 2017 | Variational Inference | —Unverified | 0 |
| Bayesian Nonparametric Poisson-Process Allocation for Time-Sequence Modeling | May 19, 2017 | Variational Inference | CodeCode Available | 0 |
