| Distributional Bayesian optimisation for variational inference on black-box simulators | Oct 16, 2019 | Bayesian OptimisationVariational Inference | CodeCode Available | 0 |
| Multi-Object Representation Learning with Iterative Variational Inference | Mar 1, 2019 | ObjectRepresentation Learning | CodeCode Available | 0 |
| Distributed Variational Inference in Sparse Gaussian Process Regression and Latent Variable Models | Feb 6, 2014 | Dimensionality ReductionGaussian Processes | CodeCode Available | 0 |
| Distributed Variational Inference for Online Supervised Learning | Sep 5, 2023 | Binary ClassificationVariational Inference | CodeCode Available | 0 |
| Barrier Frank-Wolfe for Marginal Inference | Nov 6, 2015 | Variational Inference | CodeCode Available | 0 |
| Jensen-Shannon Divergence Based Novel Loss Functions for Bayesian Neural Networks | Sep 23, 2022 | regressionVariational Inference | CodeCode Available | 0 |
| The VampPrior Mixture Model | Feb 6, 2024 | ClusteringImage Clustering | CodeCode Available | 0 |
| Approximation Based Variance Reduction for Reparameterization Gradients | Jul 29, 2020 | Variational Inference | CodeCode Available | 0 |
| Disentangling Latent Space for VAE by Label Relevant/Irrelevant Dimensions | Dec 22, 2018 | Variational Inference | CodeCode Available | 0 |
| Multiple Importance Sampling ELBO and Deep Ensembles of Variational Approximations | Feb 22, 2022 | Density EstimationVariational Inference | CodeCode Available | 0 |
