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| AutoBayes: A Compositional Framework for Generalized Variational Inference | Mar 24, 2025 | Bayesian InferenceVariational Inference | —Unverified | 0 | 0 |
| AutoBayes: Automated Bayesian Graph Exploration for Nuisance-Robust Inference | Jul 2, 2020 | Bayesian InferenceBIG-bench Machine Learning | —Unverified | 0 | 0 |
| AutoEKF: Scalable System Identification for COVID-19 Forecasting from Large-Scale GPS Data | Jun 28, 2021 | Bayesian Inference | —Unverified | 0 | 0 |
| Autoencoded sparse Bayesian in-IRT factorization, calibration, and amortized inference for the Work Disability Functional Assessment Battery | Oct 20, 2022 | Bayesian Inference | —Unverified | 0 | 0 |
| Automated Circuit Sizing with Multi-objective Optimization based on Differential Evolution and Bayesian Inference | Jun 6, 2022 | Bayesian InferenceBayesian Optimization | —Unverified | 0 | 0 |
| Automated quantification of myocardial tissue characteristics from native T1 mapping using neural networks with Bayesian inference for uncertainty-based quality-control | Jan 31, 2020 | Bayesian InferenceDecision Making | —Unverified | 0 | 0 |
| Automatic Bayesian Density Analysis | Jul 24, 2018 | Anomaly DetectionBayesian Inference | —Unverified | 0 | 0 |
| Automatic maneuver detection and tracking of space objects in optical survey scenarios based on stochastic hybrid systems formulation | Sep 16, 2021 | Bayesian InferenceSurvey | —Unverified | 0 | 0 |
| Automatic Variational Inference in Stan | Jun 10, 2015 | Bayesian InferenceProbabilistic Programming | —Unverified | 0 | 0 |
| Auto-weighted Bayesian Physics-Informed Neural Networks and robust estimations for multitask inverse problems in pore-scale imaging of dissolution | Aug 24, 2023 | Bayesian InferenceUncertainty Quantification | —Unverified | 0 | 0 |
| A Variational Bayesian Inference Theory of Elasticity and Its Mixed Probabilistic Finite Element Method for Inverse Deformation Solutions in Any Dimension | Oct 10, 2024 | Bayesian Inference | —Unverified | 0 | 0 |
| A Variational Feature Encoding Method of 3D Object for Probabilistic Semantic SLAM | Aug 30, 2018 | Bayesian InferenceObject | —Unverified | 0 | 0 |
| A Variational Observation Model of 3D Object for Probabilistic Semantic SLAM | Sep 14, 2018 | Bayesian InferenceObject | —Unverified | 0 | 0 |
| A Variational View on Bootstrap Ensembles as Bayesian Inference | Jun 8, 2020 | Bayesian Inferencevalid | —Unverified | 0 | 0 |
| A visual exploration of Gaussian Processes and Infinite Neural Networks | Jan 17, 2022 | Bayesian InferenceGaussian Processes | —Unverified | 0 | 0 |
| Information-Geometric Barycenters for Bayesian Federated Learning | Dec 16, 2024 | Bayesian InferenceDistributed Optimization | —Unverified | 0 | 0 |
| BaCOUn: Bayesian Classifers with Out-of-Distribution Uncertainty | Jul 12, 2020 | Bayesian Inference | —Unverified | 0 | 0 |
| bamlss: A Lego Toolbox for Flexible Bayesian Regression (and Beyond) | Sep 25, 2019 | Additive modelsBayesian Inference | —Unverified | 0 | 0 |
| Bandit Learning for Diversified Interactive Recommendation | Jul 1, 2019 | Bayesian InferenceDiversity | —Unverified | 0 | 0 |
| BAR: Bayesian Activity Recognition using variational inference | Nov 8, 2018 | Activity RecognitionBayesian Inference | —Unverified | 0 | 0 |
| BARNN: A Bayesian Autoregressive and Recurrent Neural Network | Jan 30, 2025 | Bayesian InferenceUncertainty Quantification | —Unverified | 0 | 0 |
| Barrier Certificates for Unknown Systems with Latent States and Polynomial Dynamics using Bayesian Inference | Apr 2, 2025 | Bayesian InferenceUncertainty Quantification | —Unverified | 0 | 0 |
| BAT.jl -- A Julia-based tool for Bayesian inference | Aug 7, 2020 | Bayesian Inference | —Unverified | 0 | 0 |
| BayesAdapter: enhanced uncertainty estimation in CLIP few-shot adaptation | Dec 12, 2024 | Bayesian InferencePrompt Learning | —Unverified | 0 | 0 |
| Bayesian Active Learning for Scanning Probe Microscopy: from Gaussian Processes to Hypothesis Learning | May 30, 2022 | Active LearningBayesian Inference | —Unverified | 0 | 0 |
| Bayesian Adversarial Spheres: Bayesian Inference and Adversarial Examples in a Noiseless Setting | Nov 29, 2018 | Bayesian Inference | —Unverified | 0 | 0 |
| Bayesian Approaches for Revealing Complex Neural Network Dynamics in Parkinson's Disease | Oct 30, 2024 | Bayesian Inference | —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 Bandit Algorithms with Approximate Inference in Stochastic Linear Bandits | Jun 20, 2024 | Bayesian InferenceThompson Sampling | —Unverified | 0 | 0 |
| Bayesian Boosting for Linear Mixed Models | Jun 9, 2021 | Bayesian InferenceModel Selection | —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 causal inference via probabilistic program synthesis | Oct 30, 2019 | Bayesian InferenceCausal Inference | —Unverified | 0 | 0 |
| Bayesian Causal Structural Learning with Zero-Inflated Poisson Bayesian Networks | Dec 1, 2020 | Bayesian Inference | —Unverified | 0 | 0 |
| Bayesian Context Aggregation for Neural Processes | Jan 1, 2021 | Bayesian InferenceMulti-Task Learning | —Unverified | 0 | 0 |
| Bayesian Critique-Tune-Based Reinforcement Learning with Adaptive Pressure for Multi-Intersection Traffic Signal Control | Dec 18, 2024 | Bayesian Inferencereinforcement-learning | —Unverified | 0 | 0 |
| Bayesian data fusion with shared priors | Dec 14, 2022 | Bayesian InferenceFederated Learning | —Unverified | 0 | 0 |
| Bayesian Data Sketching for Varying Coefficient Regression Models | May 30, 2025 | Bayesian InferenceDimensionality Reduction | —Unverified | 0 | 0 |
| Bayesian Deep Convolutional Encoder-Decoder Networks for Surrogate Modeling and Uncertainty Quantification | Jan 21, 2018 | Bayesian InferenceDecoder | —Unverified | 0 | 0 |
| Bayesian Deep Learning for Discrete Choice | May 23, 2025 | Bayesian InferenceDeep Learning | —Unverified | 0 | 0 |
| Bayesian deep learning framework for uncertainty quantification in high dimensions | Oct 21, 2022 | Bayesian InferenceDeep Learning | —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 Differential Privacy through Posterior Sampling | Jun 5, 2013 | Bayesian InferencePrivacy Preserving | —Unverified | 0 | 0 |
| Semantic Similarity-Informed Bayesian Borrowing for Quantitative Signal Detection of Adverse Events | Apr 16, 2025 | Bayesian InferenceMarketing | —Unverified | 0 | 0 |
| Bayesian Epistemology with Weighted Authority: A Formal Architecture for Truth-Promoting Autonomous Scientific Reasoning | Jun 19, 2025 | Bayesian Inference | —Unverified | 0 | 0 |
| Bayesian estimation of Differential Transcript Usage from RNA-seq data | Sep 28, 2017 | Bayesian Inference | —Unverified | 0 | 0 |
| Bayesian Evolutionary Swarm Architecture: A Formal Epistemic System Grounded in Truth-Based Competition | Jun 23, 2025 | Bayesian InferenceCausal Inference | —Unverified | 0 | 0 |
| Bayesian Experimental Design of Magnetic Resonance Imaging Sequences | Dec 1, 2008 | Bayesian InferenceExperimental Design | —Unverified | 0 | 0 |
| Bayesian Exponential Family PCA | Dec 1, 2008 | Bayesian InferenceDimensionality Reduction | —Unverified | 0 | 0 |