| The Generalized Reparameterization Gradient | Oct 7, 2016 | Variational Inference | —Unverified | 0 |
| Algorithms for item categorization based on ordinal ranking data | Sep 29, 2016 | Community DetectionStochastic Block Model | —Unverified | 0 |
| Variational Inference with Hamiltonian Monte Carlo | Sep 26, 2016 | Variational Inference | —Unverified | 0 |
| Gray-box inference for structured Gaussian process models | Sep 14, 2016 | Stochastic OptimizationStructured Prediction | —Unverified | 0 |
| Private Topic Modeling | Sep 14, 2016 | Variational Inference | —Unverified | 0 |
| Efficient Continuous Relaxations for Dense CRF | Aug 22, 2016 | Semantic SegmentationVariational Inference | —Unverified | 0 |
| Dynamic Collaborative Filtering with Compound Poisson Factorization | Aug 17, 2016 | Collaborative FilteringVariational Inference | —Unverified | 0 |
| Stein Variational Gradient Descent: A General Purpose Bayesian Inference Algorithm | Aug 16, 2016 | Bayesian InferenceVariational Inference | CodeCode Available | 1 |
| Scalable Modeling of Multivariate Longitudinal Data for Prediction of Chronic Kidney Disease Progression | Aug 16, 2016 | ManagementVariational Inference | —Unverified | 0 |
| Scaling Factorial Hidden Markov Models: Stochastic Variational Inference without Messages | Aug 12, 2016 | Variational Inference | —Unverified | 0 |
| Multiple scan data association by convex variational inference | Jul 27, 2016 | Variational Inference | —Unverified | 0 |
| Stochastic Backpropagation through Mixture Density Distributions | Jul 19, 2016 | Variational Inference | —Unverified | 0 |
| Combining Random Walks and Nonparametric Bayesian Topic Model for Community Detection | Jul 19, 2016 | Community DetectionStochastic Block Model | —Unverified | 0 |
| Unsupervised Learning with Imbalanced Data via Structure Consolidation Latent Variable Model | Jun 30, 2016 | Variational Inference | —Unverified | 0 |
| Disease Trajectory Maps | Jun 29, 2016 | Time SeriesTime Series Analysis | —Unverified | 0 |
| Automatic Variational ABC | Jun 28, 2016 | Variational Inference | —Unverified | 0 |
| Improving Variational Inference with Inverse Autoregressive Flow | Jun 15, 2016 | Variational Inference | CodeCode Available | 1 |
| Spreadsheet Probabilistic Programming | Jun 14, 2016 | Decision MakingDecision Making Under Uncertainty | —Unverified | 0 |
| Generative Topic Embedding: a Continuous Representation of Documents (Extended Version with Proofs) | Jun 9, 2016 | Document ClassificationVariational Inference | CodeCode Available | 0 |
| VIME: Variational Information Maximizing Exploration | May 31, 2016 | continuous-controlContinuous Control | CodeCode Available | 0 |
| Extreme Stochastic Variational Inference: Distributed and Asynchronous | May 31, 2016 | Variational Inference | —Unverified | 0 |
| Linear dynamical neural population models through nonlinear embeddings | May 26, 2016 | Variational Inference | CodeCode Available | 0 |
| Sequential Neural Models with Stochastic Layers | May 24, 2016 | Music ModelingVariational Inference | CodeCode Available | 0 |
| Variational hybridization and transformation for large inaccurate noisy-or networks | May 20, 2016 | Variational Inference | —Unverified | 0 |
| Deep Variational Bayes Filters: Unsupervised Learning of State Space Models from Raw Data | May 20, 2016 | State Space ModelsVariational Inference | CodeCode Available | 0 |
