| Hierarchical models for neural population dynamics in the presence of non-stationarity | Oct 12, 2014 | Variational Inference | —Unverified | 0 | 0 |
| Connection Discovery using Shared Images by Gaussian Relational Topic Model | Dec 12, 2016 | MarketingVariational Inference | —Unverified | 0 | 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 | 0 |
| Improving Output Uncertainty Estimation and Generalization in Deep Learning via Neural Network Gaussian Processes | Jul 19, 2017 | Gaussian ProcessesVariational Inference | —Unverified | 0 | 0 |
| Improving Robustness and Uncertainty Modelling in Neural Ordinary Differential Equations | Dec 23, 2021 | Autonomous Drivingimage-classification | —Unverified | 0 | 0 |
| Hierarchical Implicit Models and Likelihood-Free Variational Inference | Feb 28, 2017 | Generative Adversarial NetworkText Generation | —Unverified | 0 | 0 |
| Hierarchical Bayesian Personalized Recommendation: A Case Study and Beyond | Aug 20, 2019 | Recommendation SystemsVariational Inference | —Unverified | 0 | 0 |
| Confidence Estimation via Sequential Likelihood Mixing | Feb 20, 2025 | Bayesian InferenceVariational Inference | —Unverified | 0 | 0 |
| A Deterministic Global Optimization Method for Variational Inference | Mar 21, 2017 | global-optimizationVariational Inference | —Unverified | 0 | 0 |
| Hierarchical Bayes Autoencoders | Sep 25, 2019 | DecoderVariational Inference | —Unverified | 0 | 0 |
