| 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 |
| Automatic Differentiation Variational Inference | Mar 2, 2016 | Probabilistic ProgrammingVariational Inference | CodeCode Available | 1 |
| 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 |
| Online Prediction of Dyadic Data with Heterogeneous Matrix Factorization | Jan 13, 2016 | Collaborative FilteringVariational Inference | —Unverified | 0 |
| Blind Image Denoising via Dependent Dirichlet Process Tree | Jan 13, 2016 | DenoisingImage Denoising | —Unverified | 0 |
| Variational Inference: A Review for Statisticians | Jan 4, 2016 | Stochastic OptimizationVariational Inference | CodeCode Available | 1 |
| Distributed Bayesian Learning with Stochastic Natural-gradient Expectation Propagation and the Posterior Server | Dec 31, 2015 | Variational Inference | —Unverified | 0 |
| Deep Poisson Factorization Machines: factor analysis for mapping behaviors in journalist ecosystem | Dec 18, 2015 | Variational Inference | —Unverified | 0 |
| A Theoretically Grounded Application of Dropout in Recurrent Neural Networks | Dec 16, 2015 | Bayesian InferenceDeep Learning | CodeCode Available | 0 |
| Scalable Modeling of Conversational-role based Self-presentation Characteristics in Large Online Forums | Dec 10, 2015 | Topic ModelsVariational Inference | —Unverified | 0 |
