| Contrastive Graph Poisson Networks: Semi-Supervised Learning with Extremely Limited Labels | Dec 1, 2021 | Graph AttentionNode Classification | —Unverified | 0 |
| Continuous-time edge modelling using non-parametric point processes | Dec 1, 2021 | AttributeGaussian Processes | —Unverified | 0 |
| Compositional Modeling of Nonlinear Dynamical Systems with ODE-based Random Features | Dec 1, 2021 | Bayesian InferenceGaussian Processes | CodeCode Available | 0 |
| A universal probabilistic spike count model reveals ongoing modulation of neural variability | Dec 1, 2021 | Gaussian ProcessesVariational Inference | —Unverified | 0 |
| Collapsed Variational Bounds for Bayesian Neural Networks | Dec 1, 2021 | Variational Inference | CodeCode Available | 0 |
| Modified Frank Wolfe in Probability Space | Dec 1, 2021 | Variational Inference | —Unverified | 0 |
| Functional Variational Inference based on Stochastic Process Generators | Dec 1, 2021 | Bayesian InferenceVariational Inference | —Unverified | 0 |
| Joint Modeling of Visual Objects and Relations for Scene Graph Generation | Dec 1, 2021 | Graph EmbeddingGraph Generation | —Unverified | 0 |
| Optimality of variational inference for stochasticblock model with missing links | Dec 1, 2021 | parameter estimationStochastic Block Model | —Unverified | 0 |
| Learning to Learn Dense Gaussian Processes for Few-Shot Learning | Dec 1, 2021 | Few-Shot LearningGaussian Processes | —Unverified | 0 |
| EDGE: Explaining Deep Reinforcement Learning Policies | Dec 1, 2021 | Deep Reinforcement LearningMuJoCo | CodeCode Available | 1 |
| Scalable Bayesian GPFA with automatic relevance determination and discrete noise models | Dec 1, 2021 | Variational Inference | —Unverified | 0 |
| Topic Modeling Revisited: A Document Graph-based Neural Network Perspective | Dec 1, 2021 | Variational Inference | CodeCode Available | 1 |
| Variational Continual Bayesian Meta-Learning | Dec 1, 2021 | Meta-LearningTransfer Learning | —Unverified | 0 |
| Probabilistic Tensor Decomposition of Neural Population Spiking Activity | Dec 1, 2021 | AnatomyTensor Decomposition | CodeCode Available | 0 |
| A Variational Inference Approach to Inverse Problems with Gamma Hyperpriors | Nov 26, 2021 | Model SelectionTime Series | —Unverified | 0 |
| Variational Gibbs Inference for Statistical Model Estimation from Incomplete Data | Nov 25, 2021 | BIG-bench Machine LearningNormalising Flows | CodeCode Available | 0 |
| Differentially private stochastic expectation propagation (DP-SEP) | Nov 25, 2021 | Variational Inference | —Unverified | 0 |
| BaLeNAS: Differentiable Architecture Search via the Bayesian Learning Rule | Nov 25, 2021 | Neural Architecture SearchVariational Inference | —Unverified | 0 |
| Weight Pruning and Uncertainty in Radio Galaxy Classification | Nov 23, 2021 | ClassificationData Augmentation | CodeCode Available | 0 |
| Structured Stochastic Gradient MCMC: a hybrid VI and MCMC approach | Nov 22, 2021 | Bayesian InferenceVariational Inference | —Unverified | 0 |
| Matrix Inversion free variational inference in Conditional Student's T Processes | Nov 22, 2021 | validVariational Inference | —Unverified | 0 |
| Shooting Schrödinger’s Cat | Nov 22, 2021 | Variational Inference | —Unverified | 0 |
| Probabilistic Deep Learning with Generalised Variational Inference | Nov 22, 2021 | Bayesian InferenceDeep Learning | —Unverified | 0 |
| A Deterministic Sampling Method via Maximum Mean Discrepancy Flow with Adaptive Kernel | Nov 21, 2021 | Numerical IntegrationVariational Inference | —Unverified | 0 |
