| Automatic variational inference with cascading flows | Feb 9, 2021 | Variational Inference | —Unverified | 0 | 0 |
| Automorphism Groups of Graphical Models and Lifted Variational Inference | Sep 26, 2013 | Variational Inference | —Unverified | 0 | 0 |
| Autoregressive Speech Synthesis without Vector Quantization | Jul 11, 2024 | Audio CompressionDiversity | —Unverified | 0 | 0 |
| A Variant of Gaussian Process Dynamical Systems | Jun 9, 2019 | Variational Inference | —Unverified | 0 | 0 |
| A Variational Analysis of Stochastic Gradient Algorithms | Feb 8, 2016 | Variational Inference | —Unverified | 0 | 0 |
| A Variational Approach to Parameter Estimation for Characterizing 2-D Cluster Variation Method Topographies | Sep 9, 2022 | parameter estimationTriplet | —Unverified | 0 | 0 |
| A variational Bayesian spatial interaction model for estimating revenue and demand at business facilities | Aug 5, 2021 | Decision MakingUncertainty Quantification | —Unverified | 0 | 0 |
| A Variational Bayesian State-Space Approach to Online Passive-Aggressive Regression | Sep 8, 2015 | General Classificationregression | —Unverified | 0 | 0 |
| A Variational Dirichlet Framework for Out-of-Distribution Detection | Nov 18, 2018 | Out-of-Distribution DetectionVariational Inference | —Unverified | 0 | 0 |
| A Variational Inference Approach to Inverse Problems with Gamma Hyperpriors | Nov 26, 2021 | Model SelectionTime Series | —Unverified | 0 | 0 |
| A variational inference framework for inverse problems | Mar 10, 2021 | Variational Inference | —Unverified | 0 | 0 |
| A Variational Perspective on Generative Flow Networks | Oct 14, 2022 | Variational Inference | —Unverified | 0 | 0 |
| Balanced Training of Energy-Based Models with Adaptive Flow Sampling | Jun 1, 2023 | Density EstimationVariational Inference | —Unverified | 0 | 0 |
| BaLeNAS: Differentiable Architecture Search via the Bayesian Learning Rule | Nov 25, 2021 | Neural Architecture SearchVariational Inference | —Unverified | 0 | 0 |
| Banded Matrix Operators for Gaussian Markov Models in the Automatic Differentiation Era | Feb 26, 2019 | Gaussian ProcessesState Space Models | —Unverified | 0 | 0 |
| BAR: Bayesian Activity Recognition using variational inference | Nov 8, 2018 | Activity RecognitionBayesian Inference | —Unverified | 0 | 0 |
| BasisVAE: Orthogonal Latent Space for Deep Disentangled Representation | Sep 25, 2019 | DisentanglementVariational Inference | —Unverified | 0 | 0 |
| Batch, match, and patch: low-rank approximations for score-based variational inference | Oct 29, 2024 | Variational Inference | —Unverified | 0 | 0 |
| BayesAdapter: Being Bayesian, Inexpensively and Robustly, via Bayesian Fine-tuning | Sep 28, 2020 | Uncertainty QuantificationVariational Inference | —Unverified | 0 | 0 |
| BayesFormer: Transformer with Uncertainty Estimation | Jun 2, 2022 | Active LearningLanguage Modeling | —Unverified | 0 | 0 |
| Bayesian Automatic Relevance Determination for Utility Function Specification in Discrete Choice Models | Jun 10, 2019 | Bayesian InferenceDiscrete Choice Models | —Unverified | 0 | 0 |
| Bayesian brains and the Rényi divergence | Jul 12, 2021 | Bayesian InferenceVariational Inference | —Unverified | 0 | 0 |
| Bayesian calibration of differentiable agent-based models | May 24, 2023 | Bayesian InferenceVariational Inference | —Unverified | 0 | 0 |
| Bayesian deep learning with hierarchical prior: Predictions from limited and noisy data | Jul 8, 2019 | Bayesian InferenceProbabilistic Programming | —Unverified | 0 | 0 |
| Bayesian Domain Invariant Learning via Posterior Generalization of Parameter Distributions | Oct 25, 2023 | Domain GeneralizationVariational Inference | —Unverified | 0 | 0 |