| Generative Particle Variational Inference via Estimation of Functional Gradients | Mar 1, 2021 | Variational Inference | —Unverified | 0 | 0 |
| Generative Models for Learning from Crowds | Jun 13, 2017 | Variational Inference | —Unverified | 0 | 0 |
| Generative Modeling of Neural Dynamics via Latent Stochastic Differential Equations | Dec 1, 2024 | Variational Inference | —Unverified | 0 | 0 |
| Combining Bayesian Inference and Reinforcement Learning for Agent Decision Making: A Review | May 12, 2025 | Active LearningBayesian Inference | —Unverified | 0 | 0 |
| A Tutorial on the Mathematical Model of Single Cell Variational Inference | Jan 3, 2021 | Variational Inference | —Unverified | 0 | 0 |
| Variational inference of fractional Brownian motion with linear computational complexity | Mar 15, 2022 | Bayesian InferenceGraph Neural Network | —Unverified | 0 | 0 |
| A Deep Learning Algorithm for High-Dimensional Exploratory Item Factor Analysis | Jan 22, 2020 | Computational EfficiencyVariational Inference | —Unverified | 0 | 0 |
| Generative Flow Networks: Theory and Applications to Structure Learning | Jan 9, 2025 | Sequential Decision MakingVariational Inference | —Unverified | 0 | 0 |
| A Tutorial on Sparse Gaussian Processes and Variational Inference | Dec 27, 2020 | Bayesian InferenceGaussian Processes | —Unverified | 0 | 0 |
| Generating Diverse Translation from Model Distribution with Dropout | Oct 16, 2020 | DiversityMachine Translation | —Unverified | 0 | 0 |
| Collapsed variational Bayes for Markov jump processes | Dec 1, 2017 | Variational Inference | —Unverified | 0 | 0 |
| Collapsed Amortized Variational Inference for Switching Nonlinear Dynamical Systems | Oct 21, 2019 | Time SeriesTime Series Analysis | —Unverified | 0 | 0 |
| A Tutorial on Parametric Variational Inference | Jan 3, 2023 | Variational Inference | —Unverified | 0 | 0 |
| Generalized Variational Continual Learning | Nov 24, 2020 | Continual LearningVariational Inference | —Unverified | 0 | 0 |
| Generalized Transformation-based Gradient | Nov 6, 2019 | Variational Inference | —Unverified | 0 | 0 |
| Stochastic Collapsed Variational Inference for Structured Gaussian Process Regression Network | Jun 1, 2021 | ImputationMissing Values | —Unverified | 0 | 0 |
| Convergence Rates of Variational Inference in Sparse Deep Learning | Aug 9, 2019 | Bayesian InferenceDeep Learning | —Unverified | 0 | 0 |
| Generalised Gaussian Process Latent Variable Models (GPLVM) with Stochastic Variational Inference | Feb 25, 2022 | BenchmarkingDimensionality Reduction | —Unverified | 0 | 0 |
| Cold Posteriors through PAC-Bayes | Jun 22, 2022 | Bayesian InferenceGeneralization Bounds | —Unverified | 0 | 0 |
| A Tutorial on Deep Latent Variable Models of Natural Language | Dec 17, 2018 | Deep LearningVariational Inference | —Unverified | 0 | 0 |
| Gaussian Process Tilted Nonparametric Density Estimation using Fisher Divergence Score Matching | Apr 4, 2025 | Density EstimationForm | —Unverified | 0 | 0 |
| Gaussian Process Meta-Representations Of Neural Networks | Sep 25, 2019 | Active LearningBayesian Inference | —Unverified | 0 | 0 |
| Gaussian Process Latent Variable Flows for Massively Missing Data | Nov 23, 2020 | Dimensionality ReductionGaussian Processes | —Unverified | 0 | 0 |
| Attention Is Not What You Need: Revisiting Multi-Instance Learning for Whole Slide Image Classification | Aug 18, 2024 | Classificationimage-classification | —Unverified | 0 | 0 |
| A Mathematical Walkthrough and Discussion of the Free Energy Principle | Aug 30, 2021 | Bayesian InferencePhilosophy | —Unverified | 0 | 0 |