| Sequential Neural Models with Stochastic Layers | May 24, 2016 | Music ModelingVariational Inference | CodeCode Available | 0 |
| Variational Information Maximisation for Intrinsically Motivated Reinforcement Learning | Sep 29, 2015 | BIG-bench Machine Learningreinforcement-learning | CodeCode Available | 0 |
| Automated Augmented Conjugate Inference for Non-conjugate Gaussian Process Models | Feb 26, 2020 | Gaussian ProcessesVariational Inference | CodeCode Available | 0 |
| Online Variational Sequential Monte Carlo | Dec 19, 2023 | parameter estimationState Space Models | CodeCode Available | 0 |
| Training Bayesian Neural Networks with Sparse Subspace Variational Inference | Feb 16, 2024 | Uncertainty QuantificationVariational Inference | CodeCode Available | 0 |
| Differentiable Annealed Importance Sampling Minimizes The Symmetrized Kullback-Leibler Divergence Between Initial and Target Distribution | May 23, 2024 | Variational Inference | CodeCode Available | 0 |
| Fast yet Simple Natural-Gradient Descent for Variational Inference in Complex Models | Jul 12, 2018 | Bayesian InferenceVariational Inference | CodeCode Available | 0 |
| Variational Inference for Uncertainty Quantification: an Analysis of Trade-offs | Mar 20, 2024 | Uncertainty Quantificationvalid | CodeCode Available | 0 |
| On Signal-to-Noise Ratio Issues in Variational Inference for Deep Gaussian Processes | Nov 1, 2020 | Gaussian ProcessesVariational Inference | CodeCode Available | 0 |
| On Smoothing and Inference for Topic Models | May 9, 2012 | Topic ModelsVariational Inference | CodeCode Available | 0 |
