| Laplace Matching for fast Approximate Inference in Latent Gaussian Models | May 7, 2021 | Bayesian InferenceGaussian Processes | CodeCode Available | 0 |
| Efficient Training of Probabilistic Neural Networks for Survival Analysis | Apr 9, 2024 | Bayesian InferenceComputational Efficiency | CodeCode Available | 0 |
| Pyro: Deep Universal Probabilistic Programming | Oct 18, 2018 | GPUProbabilistic Programming | CodeCode Available | 0 |
| Bayesian Semi-supervised Learning with Graph Gaussian Processes | Sep 12, 2018 | Active LearningGaussian Processes | CodeCode Available | 0 |
| Stratification of patient trajectories using covariate latent variable models | Oct 27, 2016 | Variational Inference | CodeCode Available | 0 |
| Coupled Variational Bayes via Optimization Embedding | Dec 1, 2018 | Variational Inference | CodeCode Available | 0 |
| Latent Alignment and Variational Attention | Jul 10, 2018 | Hard AttentionMachine Translation | CodeCode Available | 0 |
| Latent Gaussian Processes for Distribution Estimation of Multivariate Categorical Data | Mar 7, 2015 | DiversityGaussian Processes | CodeCode Available | 0 |
| Unsupervised Outlier Detection using Random Subspace and Subsampling Ensembles of Dirichlet Process Mixtures | Jan 1, 2024 | Outlier DetectionVariational Inference | CodeCode Available | 0 |
| Latent Intention Dialogue Models | May 29, 2017 | reinforcement-learningReinforcement Learning | CodeCode Available | 0 |