| Online Prediction of Dyadic Data with Heterogeneous Matrix Factorization | Jan 13, 2016 | Collaborative FilteringVariational Inference | —Unverified | 0 |
| 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 |
| Stochastic Collapsed Variational Inference for Hidden Markov Models | Dec 5, 2015 | Variational Inference | —Unverified | 0 |
| Stochastic Collapsed Variational Inference for Sequential Data | Dec 5, 2015 | Variational Inference | —Unverified | 0 |
| High-dimensional neural spike train analysis with generalized count linear dynamical systems | Dec 1, 2015 | Variational Inference | CodeCode Available | 0 |
| Kullback-Leibler Proximal Variational Inference | Dec 1, 2015 | Variational Inference | —Unverified | 0 |
| Higher-Order Inference for Multi-Class Log-Supermodular Models | Dec 1, 2015 | Image SegmentationSemantic Segmentation | —Unverified | 0 |
| Local Expectation Gradients for Black Box Variational Inference | Dec 1, 2015 | Variational Inference | —Unverified | 0 |
| Fast Second Order Stochastic Backpropagation for Variational Inference | Dec 1, 2015 | regressionVariational Inference | —Unverified | 0 |
| Scalable Inference for Gaussian Process Models with Black-Box Likelihoods | Dec 1, 2015 | General Classificationregression | —Unverified | 0 |
| Learning Stationary Time Series using Gaussian Processes with Nonparametric Kernels | Dec 1, 2015 | DenoisingGaussian Processes | —Unverified | 0 |
| Black box variational inference for state space models | Nov 23, 2015 | State Space ModelsTime Series | CodeCode Available | 0 |
| The Variational Gaussian Process | Nov 20, 2015 | Representation LearningVariational Inference | —Unverified | 0 |
| Neural Variational Inference for Text Processing | Nov 19, 2015 | Answer SelectionQuestion Answering | CodeCode Available | 0 |
| Principled Parallel Mean-Field Inference for Discrete Random Fields | Nov 19, 2015 | Variational Inference | —Unverified | 0 |
| Stochastic Expectation Propagation for Large Scale Gaussian Process Classification | Nov 10, 2015 | ClassificationGeneral Classification | —Unverified | 0 |
| Hierarchical Variational Models | Nov 7, 2015 | Computational EfficiencyVariational Inference | CodeCode Available | 0 |
| Barrier Frank-Wolfe for Marginal Inference | Nov 6, 2015 | Variational Inference | CodeCode Available | 0 |
| Faster Stochastic Variational Inference using Proximal-Gradient Methods with General Divergence Functions | Oct 31, 2015 | Variational Inference | —Unverified | 0 |
| Testing Visual Attention in Dynamic Environments | Oct 30, 2015 | Variational Inference | —Unverified | 0 |
| Streaming, Distributed Variational Inference for Bayesian Nonparametrics | Oct 30, 2015 | Combinatorial OptimizationVariational Inference | —Unverified | 0 |
| Multiple co-clustering based on nonparametric mixture models with heterogeneous marginal distributions | Oct 21, 2015 | ClusteringVariational Inference | —Unverified | 0 |
