| A Filtering Approach to Stochastic Variational Inference | Dec 1, 2014 | Stochastic OptimizationVariational 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 |
| Functional Complexity-adaptive Temporal Tensor Decomposition | Feb 10, 2025 | Tensor DecompositionVariational Inference | —Unverified | 0 |
| A Nonparametric Bayesian Approach Toward Stacked Convolutional Independent Component Analysis | Nov 17, 2014 | Action RecognitionTemporal Action Localization | —Unverified | 0 |
| Functional Space Variational Inference for Uncertainty Estimation in Computer Aided Diagnosis | May 24, 2020 | Bayesian InferenceLesion Classification | —Unverified | 0 |
| Functional Stochastic Gradient MCMC for Bayesian Neural Networks | Sep 25, 2024 | Bayesian InferenceUncertainty Quantification | —Unverified | 0 |
| Clinically Plausible Pathology-Anatomy Disentanglement in Patient Brain MRI with Structured Variational Priors | Nov 15, 2022 | AnatomyDisentanglement | —Unverified | 0 |
| Functional Variational Inference based on Stochastic Process Generators | Dec 1, 2021 | Bayesian InferenceVariational Inference | —Unverified | 0 |
| Closed-form Inference and Prediction in Gaussian Process State-Space Models | Dec 10, 2018 | FormState Space Models | —Unverified | 0 |
| Function-Space Regularization for Deep Bayesian Classification | Jul 12, 2023 | Adversarial RobustnessClassification | —Unverified | 0 |
| Function-Space Variational Inference for Deep Bayesian Classification | Sep 29, 2021 | Adversarial RobustnessClassification | —Unverified | 0 |
| Further analysis of multilevel Stein variational gradient descent with an application to the Bayesian inference of glacier ice models | Dec 6, 2022 | Bayesian InferenceVariational Inference | —Unverified | 0 |
| GAD-PVI: A General Accelerated Dynamic-Weight Particle-Based Variational Inference Framework | Dec 27, 2023 | PositionVariational Inference | —Unverified | 0 |
| Hierarchical Bayes Autoencoders | Sep 25, 2019 | DecoderVariational Inference | —Unverified | 0 |
| Gamma Processes, Stick-Breaking, and Variational Inference | Oct 4, 2014 | Variational Inference | —Unverified | 0 |
| Gauging Variational Inference | Mar 3, 2017 | Variational Inference | —Unverified | 0 |
| Gaussian Density Parametrization Flow: Particle and Stochastic Approaches | Nov 23, 2020 | Bayesian InferenceVariational Inference | —Unverified | 0 |
| Gaussian Mean Field Regularizes by Limiting Learned Information | Feb 12, 2019 | Variational Inference | —Unverified | 0 |
| Gaussian Process Conditional Density Estimation | Oct 30, 2018 | Density EstimationFew-Shot Learning | —Unverified | 0 |
| Bayesian Matrix Decomposition and Applications | Feb 18, 2023 | Variational Inference | —Unverified | 0 |
| Adaptive Dimension Reduction and Variational Inference for Transductive Few-Shot Classification | Sep 18, 2022 | Bayesian InferenceClustering | —Unverified | 0 |
| Hierarchical Bayesian Personalized Recommendation: A Case Study and Beyond | Aug 20, 2019 | Recommendation SystemsVariational Inference | —Unverified | 0 |
| Gaussian Process Latent Variable Flows for Massively Missing Data | Nov 23, 2020 | Dimensionality ReductionGaussian Processes | —Unverified | 0 |
| Hierarchical models for neural population dynamics in the presence of non-stationarity | Oct 12, 2014 | Variational Inference | —Unverified | 0 |
| HierVST: Hierarchical Adaptive Zero-shot Voice Style Transfer | Jul 30, 2023 | Style TransferVariational Inference | —Unverified | 0 |