| Tuning-Free Maximum Likelihood Training of Latent Variable Models via Coin Betting | May 24, 2023 | LEMMAVariational Inference | —Unverified | 0 | 0 |
| Gaussian Process Conditional Density Estimation | Oct 30, 2018 | Density EstimationFew-Shot Learning | —Unverified | 0 | 0 |
| Gaussian Mean Field Regularizes by Limiting Learned Information | Feb 12, 2019 | Variational Inference | —Unverified | 0 | 0 |
| A trust-region method for stochastic variational inference with applications to streaming data | May 28, 2015 | SensitivityVariational Inference | —Unverified | 0 | 0 |
| Gaussian Density Parametrization Flow: Particle and Stochastic Approaches | Nov 23, 2020 | Bayesian InferenceVariational Inference | —Unverified | 0 | 0 |
| Gauging Variational Inference | Mar 3, 2017 | Variational Inference | —Unverified | 0 | 0 |
| Gamma Processes, Stick-Breaking, and Variational Inference | Oct 4, 2014 | Variational Inference | —Unverified | 0 | 0 |
| Gamma-Poisson Dynamic Matrix Factorization Embedded with Metadata Influence | Dec 1, 2018 | Variational Inference | —Unverified | 0 | 0 |
| CoCo Games: Graphical Game-Theoretic Swarm Control for Communication-Aware Coverage | Nov 8, 2021 | Variational Inference | —Unverified | 0 | 0 |
| A Trust-Region Method for Graphical Stein Variational Inference | Oct 21, 2024 | Bayesian InferenceVariational Inference | —Unverified | 0 | 0 |
| -VAEs : Optimising variational inference by learning data-dependent divergence skew | Jun 2, 2021 | DenoisingVariational Inference | —Unverified | 0 | 0 |
| GAD-PVI: A General Accelerated Dynamic-Weight Particle-Based Variational Inference Framework | Dec 27, 2023 | PositionVariational Inference | —Unverified | 0 | 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 | 0 |
| Co-clustering through Optimal Transport | May 17, 2017 | ClusteringVariational Inference | —Unverified | 0 | 0 |
| Function-Space Variational Inference for Deep Bayesian Classification | Sep 29, 2021 | Adversarial RobustnessClassification | —Unverified | 0 | 0 |
| Function-Space Regularization for Deep Bayesian Classification | Jul 12, 2023 | Adversarial RobustnessClassification | —Unverified | 0 | 0 |
| Clustered factor analysis of multineuronal spike data | Dec 1, 2014 | ClusteringVariational Inference | —Unverified | 0 | 0 |
| AtomAI: A Deep Learning Framework for Analysis of Image and Spectroscopy Data in (Scanning) Transmission Electron Microscopy and Beyond | May 16, 2021 | DecoderDisentanglement | —Unverified | 0 | 0 |
| Functional Variational Inference based on Stochastic Process Generators | Dec 1, 2021 | Bayesian InferenceVariational Inference | —Unverified | 0 | 0 |
| Closed-form Inference and Prediction in Gaussian Process State-Space Models | Dec 10, 2018 | FormState Space Models | —Unverified | 0 | 0 |
| Functional Stochastic Gradient MCMC for Bayesian Neural Networks | Sep 25, 2024 | Bayesian InferenceUncertainty Quantification | —Unverified | 0 | 0 |
| Clinically Plausible Pathology-Anatomy Disentanglement in Patient Brain MRI with Structured Variational Priors | Nov 15, 2022 | AnatomyDisentanglement | —Unverified | 0 | 0 |
| Atmospheric Turbulence Correction via Variational Deep Diffusion | May 8, 2023 | Image GenerationVariational Inference | —Unverified | 0 | 0 |
| Alpha-divergence Variational Inference Meets Importance Weighted Auto-Encoders: Methodology and Asymptotics | Oct 12, 2022 | Variational Inference | —Unverified | 0 | 0 |
| A deep generative model for single-cell RNA sequencing with application to detecting differentially expressed genes | Oct 13, 2017 | Stochastic OptimizationVariational Inference | —Unverified | 0 | 0 |