| Online Variational Sequential Monte Carlo | Dec 19, 2023 | parameter estimationState Space Models | CodeCode Available | 0 |
| Robust Node Representation Learning via Graph Variational Diffusion Networks | Dec 18, 2023 | Representation LearningVariational Inference | —Unverified | 0 |
| Bayesian Model Selection via Mean-Field Variational Approximation | Dec 17, 2023 | modelModel Selection | —Unverified | 0 |
| Joint State Estimation and Noise Identification Based on Variational Optimization | Dec 15, 2023 | State EstimationVariational Inference | —Unverified | 0 |
| The Gaussian-Linear Hidden Markov model: a Python package | Dec 12, 2023 | Variational Inference | CodeCode Available | 0 |
| WISE: full-Waveform variational Inference via Subsurface Extensions | Dec 11, 2023 | Variational Inference | —Unverified | 0 |
| Sparse Variational Student-t Processes | Dec 9, 2023 | Gaussian ProcessesVariational Inference | —Unverified | 0 |
| Algorithms for mean-field variational inference via polyhedral optimization in the Wasserstein space | Dec 5, 2023 | Variational Inference | CodeCode Available | 0 |
| Distributed Bayesian Estimation in Sensor Networks: Consensus on Marginal Densities | Dec 2, 2023 | Density EstimationFederated Learning | —Unverified | 0 |
| Adaptive Robust Learning using Latent Bernoulli Variables | Dec 1, 2023 | Variational Inference | CodeCode Available | 0 |
