| 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 |
