| Variational Bayesian Neural Networks via Resolution of Singularities | Feb 13, 2023 | Learning TheoryVariational Inference | CodeCode Available | 0 |
| Differentially Private Normalizing Flows for Density Estimation, Data Synthesis, and Variational Inference with Application to Electronic Health Records | Feb 11, 2023 | Density EstimationPrivacy Preserving | CodeCode Available | 0 |
| Gaussian Process-Gated Hierarchical Mixtures of Experts | Feb 9, 2023 | Gaussian ProcessesVariational Inference | CodeCode Available | 0 |
| Federated Variational Inference Methods for Structured Latent Variable Models | Feb 7, 2023 | Federated LearningTopic Models | —Unverified | 0 |
| Prior Density Learning in Variational Bayesian Phylogenetic Parameters Inference | Feb 6, 2023 | Variational Inference | CodeCode Available | 0 |
| Flat Seeking Bayesian Neural Networks | Feb 6, 2023 | Deep LearningVariational Inference | —Unverified | 0 |
| Variational Inference on the Final-Layer Output of Neural Networks | Feb 5, 2023 | Uncertainty QuantificationVariational Inference | CodeCode Available | 0 |
| Short-term Prediction and Filtering of Solar Power Using State-Space Gaussian Processes | Feb 1, 2023 | Gaussian ProcessesManagement | —Unverified | 0 |
| Learning noisy-OR Bayesian Networks with Max-Product Belief Propagation | Jan 31, 2023 | Variational Inference | —Unverified | 0 |
| SeeGera: Self-supervised Semi-implicit Graph Variational Auto-encoders with Masking | Jan 29, 2023 | Contrastive LearningSelf-Supervised Learning | —Unverified | 0 |