| Deep Bayesian Structure Networks | Sep 25, 2019 | Bayesian InferenceNeural Architecture Search | CodeCode Available | 0 |
| Hierarchical Semi-Implicit Variational Inference with Application to Diffusion Model Acceleration | Oct 26, 2023 | Bayesian InferenceVariational Inference | CodeCode Available | 0 |
| Piecewise Deterministic Markov Processes for Bayesian Neural Networks | Feb 17, 2023 | Variational Inference | CodeCode Available | 0 |
| Hierarchical Variational Imitation Learning of Control Programs | Dec 29, 2019 | Imitation LearningVariational Inference | CodeCode Available | 0 |
| Hierarchical Variational Memory for Few-shot Learning Across Domains | Dec 15, 2021 | Few-Shot LearningVariational Inference | CodeCode Available | 0 |
| Hierarchical Variational Models | Nov 7, 2015 | Computational EfficiencyVariational Inference | CodeCode Available | 0 |
| Deep Bayesian Self-Training | Nov 26, 2018 | ClusteringVariational Inference | CodeCode Available | 0 |
| Piecewise Latent Variables for Neural Variational Text Processing | Dec 1, 2016 | Text GenerationVariational Inference | CodeCode Available | 0 |
| High Dimensional Causal Inference with Variational Backdoor Adjustment | Oct 9, 2023 | Causal InferenceVariational Inference | CodeCode Available | 0 |
| High-dimensional neural spike train analysis with generalized count linear dynamical systems | Dec 1, 2015 | Variational Inference | CodeCode Available | 0 |
