| Bayesian Learning to Optimize: Quantifying the Optimizer Uncertainty | Jan 1, 2021 | image-classificationImage Classification | —Unverified | 0 |
| Hierarchical Implicit Models and Likelihood-Free Variational Inference | Feb 28, 2017 | Generative Adversarial NetworkText Generation | —Unverified | 0 |
| A Non-negative VAE:the Generalized Gamma Belief Network | Aug 6, 2024 | Representation LearningVariational Inference | —Unverified | 0 |
| Hierarchical mixtures of Unigram models for short text clustering: The role of Beta-Liouville priors | Oct 29, 2024 | Short Text ClusteringText Clustering | —Unverified | 0 |
| Hierarchical models for neural population dynamics in the presence of non-stationarity | Oct 12, 2014 | Variational Inference | —Unverified | 0 |
| Indian Buffet Process Deep Generative Models for Semi-Supervised Classification | Feb 14, 2014 | ClassificationGeneral Classification | —Unverified | 0 |
| Connection Discovery using Shared Images by Gaussian Relational Topic Model | Dec 12, 2016 | MarketingVariational Inference | —Unverified | 0 |
| Hierarchical Sparse Bayesian Multitask Model with Scalable Inference for Microbiome Analysis | Feb 4, 2025 | Binary ClassificationUncertainty Quantification | —Unverified | 0 |
| Bayesian Learning of LF-MMI Trained Time Delay Neural Networks for Speech Recognition | Dec 8, 2020 | Automatic Speech RecognitionAutomatic Speech Recognition (ASR) | —Unverified | 0 |
| Anomaly Detection on Graph Time Series | Aug 9, 2017 | Anomaly DetectionTime Series | —Unverified | 0 |
