| Pathwise Derivatives Beyond the Reparameterization Trick | Jun 5, 2018 | regressionVariational Inference | CodeCode Available | 0 |
| Pathwise Derivatives for Multivariate Distributions | Jun 5, 2018 | Variational Inference | —Unverified | 0 |
| Reparameterization Gradient for Non-differentiable Models | Jun 1, 2018 | Variational Inference | CodeCode Available | 0 |
| Cyberattack Detection using Deep Generative Models with Variational Inference | May 31, 2018 | Variational Inference | —Unverified | 0 |
| Wasserstein Variational Inference | May 29, 2018 | Bayesian InferenceVariational Inference | —Unverified | 0 |
| Hamiltonian Variational Auto-Encoder | May 29, 2018 | Variational Inference | CodeCode Available | 0 |
| Forward Amortized Inference for Likelihood-Free Variational Marginalization | May 29, 2018 | General ClassificationVariational Inference | —Unverified | 0 |
| Disentangling by Partitioning: A Representation Learning Framework for Multimodal Sensory Data | May 29, 2018 | Representation LearningVariational Inference | —Unverified | 0 |
| Discrete flow posteriors for variational inference in discrete dynamical systems | May 28, 2018 | GPUVariational Inference | —Unverified | 0 |
| A Stochastic Decoder for Neural Machine Translation | May 28, 2018 | DecoderMachine Translation | —Unverified | 0 |
| Semi-Implicit Variational Inference | May 28, 2018 | Bayesian InferenceVariational Inference | CodeCode Available | 0 |
| Ergodic Inference: Accelerate Convergence by Optimisation | May 25, 2018 | Computational EfficiencyVariational Inference | —Unverified | 0 |
| An end-to-end Differentially Private Latent Dirichlet Allocation Using a Spectral Algorithm | May 25, 2018 | SensitivityVariational Inference | —Unverified | 0 |
| Efficient Inference in Multi-task Cox Process Models | May 24, 2018 | Gaussian ProcessesPoint Processes | CodeCode Available | 0 |
| Uncertainty-Aware Attention for Reliable Interpretation and Prediction | May 24, 2018 | PredictionVariational Inference | CodeCode Available | 0 |
| Variational Inference for Data-Efficient Model Learning in POMDPs | May 23, 2018 | Decision MakingDecision Making Under Uncertainty | —Unverified | 0 |
| Amortized Context Vector Inference for Sequence-to-Sequence Networks | May 23, 2018 | Document SummarizationVariational Inference | —Unverified | 0 |
| Scalable Bayesian Learning for State Space Models using Variational Inference with SMC Samplers | May 23, 2018 | Bayesian InferenceState Space Models | —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 |
| Alpha-Beta Divergence For Variational Inference | May 2, 2018 | Variational Inference | —Unverified | 0 |