| Training Bayesian Neural Networks with Sparse Subspace Variational Inference | Feb 16, 2024 | Uncertainty QuantificationVariational Inference | CodeCode Available | 0 |
| BlackJAX: Composable Bayesian inference in JAX | Feb 16, 2024 | Bayesian InferenceProbabilistic Programming | CodeCode Available | 5 |
| MCMC-driven learning | Feb 14, 2024 | Variational Inference | —Unverified | 0 |
| Variational Continual Test-Time Adaptation | Feb 13, 2024 | Test-time AdaptationVariational Inference | —Unverified | 0 |
| Are Uncertainty Quantification Capabilities of Evidential Deep Learning a Mirage? | Feb 9, 2024 | Deep LearningOut-of-Distribution Detection | CodeCode Available | 0 |
| Latent variable model for high-dimensional point process with structured missingness | Feb 8, 2024 | DecoderGaussian Processes | CodeCode Available | 0 |
| The VampPrior Mixture Model | Feb 6, 2024 | ClusteringImage Clustering | CodeCode Available | 0 |
| Variational Flow Models: Flowing in Your Style | Feb 5, 2024 | Variational Inference | CodeCode Available | 0 |
| Variational DAG Estimation via State Augmentation With Stochastic Permutations | Feb 4, 2024 | Causal DiscoveryUncertainty Quantification | —Unverified | 0 |
| Self-Attention through Kernel-Eigen Pair Sparse Variational Gaussian Processes | Feb 2, 2024 | Gaussian ProcessesVariational Inference | CodeCode Available | 1 |