| Automatic Relevance Determination For Deep Generative Models | May 28, 2015 | Model SelectionVariational Inference | —Unverified | 0 |
| Stochastic Annealing for Variational Inference | May 25, 2015 | Variational Inference | —Unverified | 0 |
| Variational Inference with Normalizing Flows | May 21, 2015 | Variational Inference | CodeCode Available | 0 |
| Spike and Slab Gaussian Process Latent Variable Models | May 10, 2015 | Dimensionality ReductionGaussian Processes | —Unverified | 0 |
| Incorporating Word Correlation Knowledge into Topic Modeling | May 1, 2015 | Computational EfficiencyTopic Models | —Unverified | 0 |
| Early Gains Matter: A Case for Preferring Generative over Discriminative Crowdsourcing Models | May 1, 2015 | text-classificationText Classification | —Unverified | 0 |
| On Sparse variational methods and the Kullback-Leibler divergence between stochastic processes | Apr 27, 2015 | Variational Inference | —Unverified | 0 |
| Online Inference for Relation Extraction with a Reduced Feature Set | Apr 18, 2015 | RelationRelation Extraction | —Unverified | 0 |
| Early Stopping is Nonparametric Variational Inference | Apr 6, 2015 | Variational Inference | CodeCode Available | 0 |
| On some provably correct cases of variational inference for topic models | Mar 23, 2015 | ClusteringDictionary Learning | —Unverified | 0 |
| Indian Buffet process for model selection in convolved multiple-output Gaussian processes | Mar 22, 2015 | Gaussian ProcessesModel Selection | CodeCode Available | 0 |
| Improving the Gaussian Process Sparse Spectrum Approximation by Representing Uncertainty in Frequency Inputs | Mar 9, 2015 | Variational Inference | CodeCode Available | 0 |
| Latent Gaussian Processes for Distribution Estimation of Multivariate Categorical Data | Mar 7, 2015 | DiversityGaussian Processes | CodeCode Available | 0 |
| Bethe Projections for Non-Local Inference | Mar 4, 2015 | Handwriting RecognitionStructured Prediction | —Unverified | 0 |
| Local Expectation Gradients for Doubly Stochastic Variational Inference | Mar 4, 2015 | Variational Inference | —Unverified | 0 |
| Scalable Variational Inference in Log-supermodular Models | Feb 23, 2015 | Bayesian InferenceImage Segmentation | —Unverified | 0 |
| Nested Variational Compression in Deep Gaussian Processes | Dec 3, 2014 | Gaussian ProcessesVariational Inference | —Unverified | 0 |
| Content-based recommendations with Poisson factorization | Dec 1, 2014 | ArticlesRecommendation Systems | CodeCode Available | 0 |
| Automated Variational Inference for Gaussian Process Models | Dec 1, 2014 | Variational Inference | —Unverified | 0 |
| Iterative Neural Autoregressive Distribution Estimator NADE-k | Dec 1, 2014 | Density EstimationImage Generation | CodeCode Available | 0 |
| Decoupled Variational Gaussian Inference | Dec 1, 2014 | Bayesian InferenceVariational Inference | —Unverified | 0 |
| Streaming Variational Inference for Bayesian Nonparametric Mixture Models | Dec 1, 2014 | ClusteringVariational Inference | —Unverified | 0 |
| A Filtering Approach to Stochastic Variational Inference | Dec 1, 2014 | Stochastic OptimizationVariational Inference | —Unverified | 0 |
| Clustered factor analysis of multineuronal spike data | Dec 1, 2014 | ClusteringVariational Inference | —Unverified | 0 |
| From MAP to Marginals: Variational Inference in Bayesian Submodular Models | Dec 1, 2014 | Point ProcessesVariational Inference | —Unverified | 0 |
