| Composing Normalizing Flows for Inverse Problems | Feb 26, 2020 | Compressive SensingUncertainty Quantification | —Unverified | 0 |
| Automated Augmented Conjugate Inference for Non-conjugate Gaussian Process Models | Feb 26, 2020 | Gaussian ProcessesVariational Inference | CodeCode Available | 0 |
| Variational Inference and Bayesian CNNs for Uncertainty Estimation in Multi-Factorial Bone Age Prediction | Feb 25, 2020 | Age EstimationVariational Inference | —Unverified | 0 |
| Handling the Positive-Definite Constraint in the Bayesian Learning Rule | Feb 24, 2020 | validVariational Inference | CodeCode Available | 0 |
| VFlow: More Expressive Generative Flows with Variational Data Augmentation | Feb 22, 2020 | Density EstimationImage Generation | CodeCode Available | 1 |
| Stochastic Normalizing Flows | Feb 21, 2020 | Variational Inference | —Unverified | 0 |
| Deep Gaussian Markov Random Fields | Feb 18, 2020 | Variational Inference | CodeCode Available | 0 |
| Latent Variable Modelling with Hyperbolic Normalizing Flows | Feb 15, 2020 | Density EstimationVariational Inference | CodeCode Available | 1 |
| Robustness of Bayesian Neural Networks to Gradient-Based Attacks | Feb 11, 2020 | Variational Inference | CodeCode Available | 1 |
| Large Scale Tensor Regression using Kernels and Variational Inference | Feb 11, 2020 | regressionVariational Inference | —Unverified | 0 |
| Cross-modal variational inference for bijective signal-symbol translation | Feb 10, 2020 | Audio GenerationDensity Estimation | —Unverified | 0 |
| Liberty or Depth: Deep Bayesian Neural Nets Do Not Need Complex Weight Posterior Approximations | Feb 10, 2020 | Variational Inference | —Unverified | 0 |
| A Probabilistic Formulation of Unsupervised Text Style Transfer | Feb 10, 2020 | DeciphermentLanguage Modelling | CodeCode Available | 1 |
| The k-tied Normal Distribution: A Compact Parameterization of Gaussian Mean Field Posteriors in Bayesian Neural Networks | Feb 7, 2020 | Bayesian InferenceVariational Inference | —Unverified | 0 |
| Conditional Deep Gaussian Processes: multi-fidelity kernel learning | Feb 7, 2020 | Few-Shot LearningGaussian Processes | CodeCode Available | 0 |
| 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 |
