| Wide Mean-Field Variational Bayesian Neural Networks Ignore the Data | Jun 13, 2021 | BIG-bench Machine LearningVariational Inference | —Unverified | 0 |
| Posterior Temperature Optimization in Variational Inference for Inverse Problems | Jun 11, 2021 | Bayesian OptimizationCT Reconstruction | —Unverified | 0 |
| Compositional Modeling of Nonlinear Dynamical Systems with ODE-based Random Features | Jun 10, 2021 | Bayesian InferenceGaussian Processes | CodeCode Available | 0 |
| Learning Nonparametric Volterra Kernels with Gaussian Processes | Jun 10, 2021 | Gaussian ProcessesNumerical Integration | CodeCode Available | 0 |
| Nonlinear Hawkes Processes in Time-Varying System | Jun 9, 2021 | Bayesian InferencePoint Processes | —Unverified | 0 |
| Mixture weights optimisation for Alpha-Divergence Variational Inference | Jun 9, 2021 | Variational Inference | —Unverified | 0 |
| Loss function based second-order Jensen inequality and its application to particle variational inference | Jun 9, 2021 | DiversityEnsemble Learning | —Unverified | 0 |
| Probabilistic task modelling for meta-learning | Jun 9, 2021 | Meta-Learningparameter estimation | CodeCode Available | 0 |
| Stein ICP for Uncertainty Estimation in Point Cloud Matching | Jun 7, 2021 | Autonomous DrivingDecision Making | CodeCode Available | 0 |
| Variational Leakage: The Role of Information Complexity in Privacy Leakage | Jun 5, 2021 | AttributeFace Recognition | CodeCode Available | 0 |