| Differentiable Random Partition Models | May 26, 2023 | Variational Inference | CodeCode Available | 0 |
| On the Convergence of Black-Box Variational Inference | May 24, 2023 | Bayesian InferenceVariational Inference | —Unverified | 0 |
| A Rigorous Link between Deep Ensembles and (Variational) Bayesian Methods | May 24, 2023 | Deep LearningUncertainty Quantification | —Unverified | 0 |
| Discriminative calibration: Check Bayesian computation from simulations and flexible classifier | May 24, 2023 | Variational Inference | CodeCode Available | 0 |
| Tuning-Free Maximum Likelihood Training of Latent Variable Models via Coin Betting | May 24, 2023 | LEMMAVariational Inference | —Unverified | 0 |
| Bayesian calibration of differentiable agent-based models | May 24, 2023 | Bayesian InferenceVariational Inference | —Unverified | 0 |
| Deep Functional Factor Models: Forecasting High-Dimensional Functional Time Series via Bayesian Nonparametric Factorization | May 23, 2023 | Deep LearningTime Series | CodeCode Available | 0 |
| Federated Variational Inference: Towards Improved Personalization and Generalization | May 23, 2023 | Bayesian InferenceFederated Learning | —Unverified | 0 |
| Variational Inference with Coverage Guarantees in Simulation-Based Inference | May 23, 2023 | Variational Inference | CodeCode Available | 0 |
| DIVA: A Dirichlet Process Mixtures Based Incremental Deep Clustering Algorithm via Variational Auto-Encoder | May 23, 2023 | ClusteringDeep Clustering | CodeCode Available | 1 |
