| 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 |
