| 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 |
| Generative Models for Learning from Crowds | Jun 13, 2017 | Variational Inference | —Unverified | 0 |
| Recurrent Latent Variable Networks for Session-Based Recommendation | Jun 13, 2017 | Session-Based RecommendationsVariational Inference | —Unverified | 0 |
| Fast Black-box Variational Inference through Stochastic Trust-Region Optimization | Jun 7, 2017 | Variational Inference | —Unverified | 0 |
| Discovering Discrete Latent Topics with Neural Variational Inference | Jun 1, 2017 | Topic ModelsVariational Inference | CodeCode Available | 0 |
| 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 |