| 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 |
| Variational Inference In Pachinko Allocation Machines | Apr 21, 2018 | Variational Inference | —Unverified | 0 |
| Scalable Factorized Hierarchical Variational Autoencoder Training | Apr 9, 2018 | DisentanglementHyperparameter Optimization | CodeCode Available | 0 |
| Variational Rejection Sampling | Apr 5, 2018 | Variational Inference | —Unverified | 0 |
| Stochastic Variational Inference with Gradient Linearization | Mar 28, 2018 | DenoisingOptical Flow Estimation | —Unverified | 0 |
| Graphite: Iterative Generative Modeling of Graphs | Mar 28, 2018 | Density EstimationGeneral Classification | CodeCode Available | 0 |
| Pseudo-marginal Bayesian inference for supervised Gaussian process latent variable models | Mar 28, 2018 | Bayesian InferenceUncertainty Quantification | —Unverified | 0 |
| Natural Gradients in Practice: Non-Conjugate Variational Inference in Gaussian Process Models | Mar 24, 2018 | Variational Inference | —Unverified | 0 |
| Scalable Generalized Dynamic Topic Models | Mar 21, 2018 | Event DetectionGaussian Processes | CodeCode Available | 0 |
| Variational Knowledge Graph Reasoning | Mar 17, 2018 | Knowledge GraphsLink Prediction | —Unverified | 0 |
| Sylvester Normalizing Flows for Variational Inference | Mar 15, 2018 | Variational Inference | CodeCode Available | 1 |
| Variational Message Passing with Structured Inference Networks | Mar 15, 2018 | Variational Inference | CodeCode Available | 0 |
| Variational zero-inflated Gaussian processes with sparse kernels | Mar 13, 2018 | Gaussian ProcessesVariational Inference | CodeCode Available | 0 |
| Variational Inference for Gaussian Process with Panel Count Data | Mar 12, 2018 | Variational Inference | —Unverified | 0 |
| Deep Network Regularization via Bayesian Inference of Synaptic Connectivity | Mar 4, 2018 | Bayesian InferenceVariational Inference | —Unverified | 0 |
| Beyond black-boxes in Bayesian inverse problems and model validation: applications in solid mechanics of elastography | Mar 2, 2018 | Variational Inference | —Unverified | 0 |
