| Why ADAGRAD Fails for Online Topic Modeling | Sep 1, 2017 | Topic ModelsVariational Inference | —Unverified | 0 |
| Variational Inference for Logical Inference | Sep 1, 2017 | Semantic SimilaritySemantic Textual Similarity | —Unverified | 0 |
| ProbFlow: Joint Optical Flow and Uncertainty Estimation | Aug 22, 2017 | Optical Flow EstimationVariational Inference | —Unverified | 0 |
| Variational Deep Semantic Hashing for Text Documents | Aug 11, 2017 | Image RetrievalInformation Retrieval | CodeCode Available | 0 |
| Anomaly Detection on Graph Time Series | Aug 9, 2017 | Anomaly DetectionTime Series | —Unverified | 0 |
| Boosting Variational Inference: an Optimization Perspective | Aug 5, 2017 | Variational Inference | —Unverified | 0 |
| Learning Model Reparametrizations: Implicit Variational Inference by Fitting MCMC distributions | Aug 4, 2017 | Variational Inference | —Unverified | 0 |
| A Latent Variable Model for Two-Dimensional Canonical Correlation Analysis and its Variational Inference | Aug 4, 2017 | Dimensionality ReductionVariational Inference | —Unverified | 0 |
| Deep Recurrent Generative Decoder for Abstractive Text Summarization | Aug 2, 2017 | Abstractive Text SummarizationDecoder | CodeCode Available | 0 |
| From Patches to Images: A Nonparametric Generative Model | Aug 1, 2017 | DenoisingImage Inpainting | CodeCode Available | 0 |
| Multiple Clustering Views from Multiple Uncertain Experts | Aug 1, 2017 | ClusteringVariational Inference | —Unverified | 0 |
| A Generative Parser with a Discriminative Recognition Algorithm | Aug 1, 2017 | Constituency ParsingDecoder | —Unverified | 0 |
| Improving Output Uncertainty Estimation and Generalization in Deep Learning via Neural Network Gaussian Processes | Jul 19, 2017 | Gaussian ProcessesVariational Inference | —Unverified | 0 |
| Bayesian Nonlinear Support Vector Machines for Big Data | Jul 18, 2017 | Variational Inference | CodeCode Available | 0 |
| Variational Inference via Transformations on Distributions | Jul 9, 2017 | Model OptimizationVariational Inference | —Unverified | 0 |
| Bayesian Models of Data Streams with Hierarchical Power Priors | Jul 7, 2017 | Computational EfficiencyVariational Inference | —Unverified | 0 |
| Structured Black Box Variational Inference for Latent Time Series Models | Jul 4, 2017 | Collaborative FilteringTime Series | —Unverified | 0 |
| Multi-period Time Series Modeling with Sparsity via Bayesian Variational Inference | Jul 3, 2017 | Time SeriesTime Series Analysis | —Unverified | 0 |
| Location Dependent Dirichlet Processes | Jul 2, 2017 | Gaussian ProcessesImage Segmentation | —Unverified | 0 |
| Efficient Correlated Topic Modeling with Topic Embedding | Jul 1, 2017 | Document ClassificationGeneral Classification | —Unverified | 0 |
| Scalable Multi-Class Gaussian Process Classification using Expectation Propagation | Jun 22, 2017 | ClassificationGaussian Processes | —Unverified | 0 |
| A Divergence Bound for Hybrids of MCMC and Variational Inference and an Application to Langevin Dynamics and SGVI | Jun 20, 2017 | Variational Inference | —Unverified | 0 |
| Adversarial Variational Bayes Methods for Tweedie Compound Poisson Mixed Models | Jun 16, 2017 | Variational Inference | —Unverified | 0 |
| Variational Approaches for Auto-Encoding Generative Adversarial Networks | Jun 15, 2017 | Variational Inference | CodeCode Available | 0 |
| Recurrent Latent Variable Networks for Session-Based Recommendation | Jun 13, 2017 | Session-Based RecommendationsVariational Inference | —Unverified | 0 |