| Einstein VI: General and Integrated Stein Variational Inference in NumPyro | Jan 1, 2021 | Probabilistic ProgrammingVariational Inference | —Unverified | 0 |
| MISSO: Minimization by Incremental Stochastic Surrogate Optimization for Large Scale Nonconvex and Nonsmooth Problems | Jan 1, 2021 | Variational Inference | —Unverified | 0 |
| Meta-Learning Bayesian Neural Network Priors Based on PAC-Bayesian Theory | Jan 1, 2021 | Meta-LearningUncertainty Quantification | —Unverified | 0 |
| Federated Learning with Decoupled Probabilistic-Weighted Gradient Aggregation | Jan 1, 2021 | Federated LearningVariational Inference | —Unverified | 0 |
| Bayesian Learning to Optimize: Quantifying the Optimizer Uncertainty | Jan 1, 2021 | image-classificationImage Classification | —Unverified | 0 |
| Partial Rejection Control for Robust Variational Inference in Sequential Latent Variable Models | Jan 1, 2021 | Variational Inference | —Unverified | 0 |
| Variational inference for diffusion modulated Cox processes | Jan 1, 2021 | Variational Inference | —Unverified | 0 |
| Bayesian Metric Learning for Robust Training of Deep Models under Noisy Labels | Jan 1, 2021 | General ClassificationMetric Learning | —Unverified | 0 |
| A Tutorial on Sparse Gaussian Processes and Variational Inference | Dec 27, 2020 | Bayesian InferenceGaussian Processes | —Unverified | 0 |
| On Batch Normalisation for Approximate Bayesian Inference | Dec 24, 2020 | Bayesian Inferencevalid | —Unverified | 0 |
