Bayesian Learning

BATIS: Bayesian Approaches for Targeted Improvement of Species Distribution Models AAAI 2026 BayesAgent: Bayesian Agentic Reasoning Under Uncertainty via Verbalized Probabilistic Graphical Modeling AAAI 2026 Bayesian Meta-Analyses Could Be More: A Case Study in Trial of Labor After a Cesarean-section Outcomes and Complications AAAI 2026 Bayesian Network Structural Consensus via Greedy Min-Cut Analysis AAAI 2026 Bayesian Neural Networks for One-to-Many Mapping in Image Enhancement AAAI 2026 BayesVQA: Energy-Guided Bayesian Debiasing for Language-Bias-Robust Visual Question Answering AAAI 2026 Causal Inference Under Threshold Manipulation: Bayesian Mixture Modeling and Heterogeneous Treatment Effects AAAI 2026 Distributional Deep Gaussian Processes UAI 2026 Fine-grained Uncertainty Decomposition in Large Language Models: A Spectral Approach AAAI 2026 GEM: Generative Entropy-Guided Preference Modeling for Few-Shot Alignment of LLMs AAAI 2026 GeoBayes: Probabilistic Image Geo-Localization Inference via Sequential Bayesian Updating AAAI 2026 Is Memorization Helpful or Harmful? Prior Information Sets the Threshold COLT 2026 Learning-Augmented Ski Rental with Discrete Distribution: A Bayesian Approach AAAI 2026 Learning Label Distribution with Dirichlet Process Mixture Model AAAI 2026 Learning Representations from Perturbation: A Novel Matrix-View Weighting Framework for Naive Bayes UAI 2026 Life, Machine Learning, and the Search for Habitability: Predicting Biosignature Fluxes for the Habitable Worlds Observatory AAAI 2026 MetaGameBO: Hierarchical Game-Theoretic Driven Robust Meta-Learning for Bayesian Optimization AAAI 2026 py/cuTAGI: An Open-Source Library for Tractable Approximate Gaussian Inference in Bayesian Neural Networks JMLR 2026 Rethinking Label Consistency of In-Context Learning: An Implicit Transductive Label Propagation Perspective AAAI 2026 SEA-PACE: Semi-Supervised Underwater Image Enhancement via Gaussian Process–Assisted Self-Paced Learning AAAI 2026 SGPMIL: Sparse Gaussian Process Multiple Instance Learning WACV 2026 Sparse Poisson Gamma Belief Networks for High-Dimensional Sparse Count Data AAAI 2026 TOFA: Training-Free One-Shot Federated Adaptation for Vision-Language Models AAAI 2026 Towards Knowledge-augmented Bayesian Deep Learning For Computer Vision CVPR 2026 Transformer Based Bayesian Network Structure Learning from an Information Theory Perspective UAI 2026