| Alpha-Divergences in Variational Dropout | Nov 12, 2017 | Variational Inference | —Unverified | 0 |
| Convolutional Normalizing Flows | Nov 7, 2017 | Variational Inference | CodeCode Available | 0 |
| Neural Variational Inference and Learning in Undirected Graphical Models | Nov 7, 2017 | Variational Inference | —Unverified | 0 |
| Bayesian model and dimension reduction for uncertainty propagation: applications in random media | Nov 7, 2017 | Dimensionality ReductionVariational Inference | —Unverified | 0 |
| Structured Variational Inference for Coupled Gaussian Processes | Nov 3, 2017 | Gaussian ProcessesVariational Inference | —Unverified | 0 |
| Variational Inference of Disentangled Latent Concepts from Unlabeled Observations | Nov 2, 2017 | DisentanglementVariational Inference | —Unverified | 0 |
| Deep Recurrent Gaussian Process with Variational Sparse Spectrum Approximation | Nov 2, 2017 | Autonomous DrivingVariational Inference | CodeCode Available | 0 |
| Stochastic Variational Inference for Bayesian Sparse Gaussian Process Regression | Nov 1, 2017 | GPRregression | —Unverified | 0 |
| Theoretical and Computational Guarantees of Mean Field Variational Inference for Community Detection | Oct 30, 2017 | Bayesian InferenceCommunity Detection | —Unverified | 0 |
| Stochastic gradient descent performs variational inference, converges to limit cycles for deep networks | Oct 30, 2017 | Variational Inference | —Unverified | 0 |
| Variational Continual Learning | Oct 29, 2017 | Continual LearningVariational Inference | CodeCode Available | 1 |
| Reparameterizing the Birkhoff Polytope for Variational Permutation Inference | Oct 26, 2017 | Bayesian InferenceCombinatorial Optimization | —Unverified | 0 |
| Scalable Gaussian Processes with Billions of Inducing Inputs via Tensor Train Decomposition | Oct 19, 2017 | Gaussian ProcessesVariational Inference | CodeCode Available | 0 |
| Variational Inference based on Robust Divergences | Oct 18, 2017 | Bayesian InferenceVariational Inference | CodeCode Available | 0 |
| Dropout Sampling for Robust Object Detection in Open-Set Conditions | Oct 18, 2017 | image-classificationImage Classification | —Unverified | 0 |
| On the challenges of learning with inference networks on sparse, high-dimensional data | Oct 17, 2017 | parameter estimationVariational Inference | CodeCode Available | 0 |
| A deep generative model for single-cell RNA sequencing with application to detecting differentially expressed genes | Oct 13, 2017 | Stochastic OptimizationVariational Inference | —Unverified | 0 |
| Bayesian Hypernetworks | Oct 13, 2017 | Active LearningAnomaly Detection | —Unverified | 0 |
| A Dynamic Edge Exchangeable Model for Sparse Temporal Networks | Oct 11, 2017 | Link PredictionVariational Inference | —Unverified | 0 |
| α-Variational Inference with Statistical Guarantees | Oct 9, 2017 | Variational Inference | —Unverified | 0 |
| Learnable Explicit Density for Continuous Latent Space and Variational Inference | Oct 6, 2017 | Density EstimationVariational Inference | —Unverified | 0 |
| Variational Memory Addressing in Generative Models | Sep 21, 2017 | Few-Shot LearningRepresentation Learning | CodeCode Available | 0 |
| Perturbative Black Box Variational Inference | Sep 21, 2017 | Gaussian ProcessesVariational Inference | —Unverified | 0 |
| Variational inference for the multi-armed contextual bandit | Sep 10, 2017 | Multi-Armed BanditsReinforcement Learning | CodeCode Available | 0 |
| A deep generative model for gene expression profiles from single-cell RNA sequencing | Sep 7, 2017 | Stochastic OptimizationVariational Inference | CodeCode Available | 0 |
