| Natural Gradient Hybrid Variational Inference with Application to Deep Mixed Models | Feb 27, 2023 | Stochastic OptimizationVariational Inference | CodeCode Available | 0 |
| A Targeted Accuracy Diagnostic for Variational Approximations | Feb 24, 2023 | Computational EfficiencyDiagnostic | CodeCode Available | 0 |
| Streaming data recovery via Bayesian tensor train decomposition | Feb 23, 2023 | Tensor DecompositionVariational Inference | —Unverified | 0 |
| VI-DGP: A variational inference method with deep generative prior for solving high-dimensional inverse problems | Feb 22, 2023 | Variational Inference | —Unverified | 0 |
| Variational Boosted Soft Trees | Feb 21, 2023 | Decision MakingOut-of-Distribution Detection | —Unverified | 0 |
| Improved uncertainty quantification for neural networks with Bayesian last layer | Feb 21, 2023 | Gaussian Processesregression | CodeCode Available | 0 |
| Free-Form Variational Inference for Gaussian Process State-Space Models | Feb 20, 2023 | FormState Space Models | CodeCode Available | 0 |
| Bayesian Matrix Decomposition and Applications | Feb 18, 2023 | Variational Inference | —Unverified | 0 |
| The Shrinkage-Delinkage Trade-off: An Analysis of Factorized Gaussian Approximations for Variational Inference | Feb 17, 2023 | Variational Inference | CodeCode Available | 0 |
| Piecewise Deterministic Markov Processes for Bayesian Neural Networks | Feb 17, 2023 | Variational Inference | CodeCode Available | 0 |
