| Generative Topic Embedding: a Continuous Representation of Documents (Extended Version with Proofs) | Jun 9, 2016 | Document ClassificationVariational Inference | CodeCode Available | 0 |
| Extreme Stochastic Variational Inference: Distributed and Asynchronous | May 31, 2016 | Variational Inference | —Unverified | 0 |
| VIME: Variational Information Maximizing Exploration | May 31, 2016 | continuous-controlContinuous Control | CodeCode Available | 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 |
| Deep Variational Bayes Filters: Unsupervised Learning of State Space Models from Raw Data | May 20, 2016 | State Space ModelsVariational Inference | CodeCode Available | 0 |
| Variational hybridization and transformation for large inaccurate noisy-or networks | May 20, 2016 | Variational Inference | —Unverified | 0 |
| Variational inference for rare variant detection in deep, heterogeneous next-generation sequencing data | Apr 14, 2016 | SpecificityTime Series | —Unverified | 0 |
| Variational Bayesian Inference of Line Spectra | Apr 13, 2016 | Bayesian Inferenceparameter estimation | —Unverified | 0 |
| Correlated Equilibria for Approximate Variational Inference in MRFs | Apr 10, 2016 | FairnessVariational Inference | —Unverified | 0 |
| Nonparametric Spherical Topic Modeling with Word Embeddings | Apr 1, 2016 | Topic ModelsVariational Inference | CodeCode Available | 0 |
| Submodular Variational Inference for Network Reconstruction | Mar 29, 2016 | Variational Inference | —Unverified | 0 |
| Composing graphical models with neural networks for structured representations and fast inference | Mar 20, 2016 | Variational Inference | CodeCode Available | 0 |
| Fast moment estimation for generalized latent Dirichlet models | Mar 17, 2016 | parameter estimationVariational Inference | —Unverified | 0 |
| Online but Accurate Inference for Latent Variable Models with Local Gibbs Sampling | Mar 8, 2016 | Bayesian InferenceVariational Inference | —Unverified | 0 |
| Overdispersed Black-Box Variational Inference | Mar 3, 2016 | Variational Inference | —Unverified | 0 |
| A Structured Variational Auto-encoder for Learning Deep Hierarchies of Sparse Features | Feb 28, 2016 | Variational InferenceVocal Bursts Type Prediction | —Unverified | 0 |
| Max-Margin Nonparametric Latent Feature Models for Link Prediction | Feb 24, 2016 | Link PredictionPrediction | —Unverified | 0 |
| Variational Inference for On-line Anomaly Detection in High-Dimensional Time Series | Feb 23, 2016 | Anomaly DetectionTime Series | —Unverified | 0 |
| Variational inference for Monte Carlo objectives | Feb 22, 2016 | Variational Inference | CodeCode Available | 0 |
| Variational Inference for Sparse and Undirected Models | Feb 11, 2016 | Bayesian InferenceProtein Structure Prediction | —Unverified | 0 |
| A Variational Analysis of Stochastic Gradient Algorithms | Feb 8, 2016 | Variational Inference | —Unverified | 0 |
| Rényi Divergence Variational Inference | Feb 6, 2016 | Variational Inference | CodeCode Available | 0 |
| A Robust UCB Scheme for Active Learning in Regression from Strategic Crowds | Jan 25, 2016 | Active Learningparameter estimation | —Unverified | 0 |
| Blind Image Denoising via Dependent Dirichlet Process Tree | Jan 13, 2016 | DenoisingImage Denoising | —Unverified | 0 |
