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| Variational Inference for Neyman-Scott Processes | Mar 7, 2023 | Point ProcessesVariational Inference | CodeCode Available | 0 |
| Computing with Categories in Machine Learning | Mar 7, 2023 | Transfer LearningVariational Inference | —Unverified | 0 |
| Variational Inference of Structured Line Spectra Exploiting Group-Sparsity | Mar 6, 2023 | Variational Inference | —Unverified | 0 |
| MFAI: A Scalable Bayesian Matrix Factorization Approach to Leveraging Auxiliary Information | Mar 5, 2023 | Missing ValuesVariational Inference | CodeCode Available | 0 |
| Interactive Segmentation as Gaussian Process Classification | Feb 28, 2023 | Binary ClassificationClassification | CodeCode Available | 1 |
| Particle-based Online Bayesian Sampling | Feb 28, 2023 | Variational Inference | —Unverified | 0 |
| Natural Gradient Hybrid Variational Inference with Application to Deep Mixed Models | Feb 27, 2023 | Stochastic OptimizationVariational Inference | CodeCode Available | 0 |
| U-Statistics for Importance-Weighted Variational Inference | Feb 27, 2023 | Computational EfficiencyVariational Inference | —Unverified | 0 |
