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← Bayesian & Probabilistic
Artificial Intelligence
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Bayesian & Probabilistic
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Bayesian Learning
1663 directly classified papers
Papers per year
2001: 1
2002: 3
2003: 4
2004: 2
2005: 2
2006: 33
2007: 42
2008: 53
2009: 48
2010: 48
2011: 53
2012: 61
2013: 93
2014: 77
2015: 52
2016: 67
2017: 63
2018: 94
2019: 134
2020: 137
2021: 152
2022: 142
2023: 161
2024: 86
2025: 36
2026: 19
Papers
Bayesian Meta-Analyses Could Be More: A Case Study in Trial of Labor After a Cesarean-section Outcomes and Complications
AAAI 2026
BayesVQA: Energy-Guided Bayesian Debiasing for Language-Bias-Robust Visual Question Answering
AAAI 2026
BATIS: Bayesian Approaches for Targeted Improvement of Species Distribution Models
AAAI 2026
GEM: Generative Entropy-Guided Preference Modeling for Few-Shot Alignment of LLMs
AAAI 2026
MetaGameBO: Hierarchical Game-Theoretic Driven Robust Meta-Learning for Bayesian Optimization
AAAI 2026
Fine-grained Uncertainty Decomposition in Large Language Models: A Spectral Approach
AAAI 2026
Sparse Poisson Gamma Belief Networks for High-Dimensional Sparse Count Data
AAAI 2026
Bayesian Network Structural Consensus via Greedy Min-Cut Analysis
AAAI 2026
GeoBayes: Probabilistic Image Geo-Localization Inference via Sequential Bayesian Updating
AAAI 2026
Rethinking Label Consistency of In-Context Learning: An Implicit Transductive Label Propagation Perspective
AAAI 2026
Causal Inference Under Threshold Manipulation: Bayesian Mixture Modeling and Heterogeneous Treatment Effects
AAAI 2026
BayesAgent: Bayesian Agentic Reasoning Under Uncertainty via Verbalized Probabilistic Graphical Modeling
AAAI 2026
SGPMIL: Sparse Gaussian Process Multiple Instance Learning
WACV 2026
Learning Label Distribution with Dirichlet Process Mixture Model
AAAI 2026
Bayesian Neural Networks for One-to-Many Mapping in Image Enhancement
AAAI 2026
SEA-PACE: Semi-Supervised Underwater Image Enhancement via Gaussian Process–Assisted Self-Paced Learning
AAAI 2026
TOFA: Training-Free One-Shot Federated Adaptation for Vision-Language Models
AAAI 2026
Learning-Augmented Ski Rental with Discrete Distribution: A Bayesian Approach
AAAI 2026
Life, Machine Learning, and the Search for Habitability: Predicting Biosignature Fluxes for the Habitable Worlds Observatory
AAAI 2026
Scalability of Bayesian Network Structure Elicitation with Large Language Models: a Novel Methodology and Comparative Analysis
COLING 2025
On Evaluating LLMs’ Capabilities as Functional Approximators: A Bayesian Evaluation Framework
COLING 2025
Uncertainty Modelling in Under-Represented Languages with Bayesian Deep Gaussian Processes
COLING 2025
DAGs as Minimal I-maps for the Induced Models of Causal Bayesian Networks under Conditioning
JMLR 2025
Towards Uncertainty Unification: A Case Study for Preference Learning
RSS 2025
NUTMEG: Separating Signal From Noise in Annotator Disagreement
EMNLP 2025
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