| Gaussian Variational State Estimation for Nonlinear State-Space Models | Feb 7, 2020 | State EstimationState Space Models | —Unverified | 0 |
| Automatic structured variational inference | Feb 3, 2020 | Probabilistic ProgrammingVariational Inference | CodeCode Available | 0 |
| An Equivalence between Bayesian Priors and Penalties in Variational Inference | Feb 1, 2020 | Variational Inference | —Unverified | 0 |
| On the Information Bottleneck Problems: Models, Connections, Applications and Information Theoretic Views | Jan 31, 2020 | Representation LearningVariational Inference | —Unverified | 0 |
| On Implicit Regularization in β-VAEs | Jan 31, 2020 | Variational Inference | —Unverified | 0 |
| Parameter Space Factorization for Zero-Shot Learning across Tasks and Languages | Jan 30, 2020 | Cross-Lingual Transfernamed-entity-recognition | CodeCode Available | 1 |
| Efficient Probabilistic Logic Reasoning with Graph Neural Networks | Jan 29, 2020 | Variational Inference | CodeCode Available | 1 |
| Treatment effect estimation with disentangled latent factors | Jan 29, 2020 | Variational Inference | CodeCode Available | 1 |
| Multi-class Gaussian Process Classification with Noisy Inputs | Jan 28, 2020 | BIG-bench Machine LearningClassification | CodeCode Available | 1 |
| Multivariate Gaussian Variational Inference by Natural Gradient Descent | Jan 27, 2020 | Variational Inference | —Unverified | 0 |
