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Bayesian Learning

1663 directly classified papers

Papers per year

Papers

Toward Informed AV Decision-Making: Computational Model of Well-being and Trust in Mobility IJCAI 2025
Scalability of Bayesian Network Structure Elicitation with Large Language Models: a Novel Methodology and Comparative Analysis COLING 2025
DAGs as Minimal I-maps for the Induced Models of Causal Bayesian Networks under Conditioning JMLR 2025
Uncertainty Modelling in Under-Represented Languages with Bayesian Deep Gaussian Processes COLING 2025
Function-centric Bayesian Network for Zero-Shot Object Goal Navigation ICCV 2025
Multi-Attribute Multi-Grained Adaptation of Pre-Trained Language Models for Text Understanding from Bayesian Perspective AAAI 2025
Iterated Belief Change as Learning IJCAI 2025
Approximated Variational Bayesian Inverse Reinforcement Learning for Large Language Model Alignment AAAI 2025
LLMs for Bayesian Optimization in Scientific Domains: Are We There Yet? EMNLP 2025
Does Your AI Agent Get You? A Personalizable Framework for Approximating Human Models from Argumentation-based Dialogue Traces AAAI 2025
De Novo Molecular and Crystal Design with Latent Space Bayesian Optimization AAAI 2025
Cache-Efficient Posterior Sampling for Reinforcement Learning with LLM-Derived Priors Across Discrete and Continuous Domains EMNLP 2025
Amortized Bayesian Meta-Learning for Low-Rank Adaptation of Large Language Models EMNLP 2025
Towards Uncertainty Unification: A Case Study for Preference Learning RSS 2025
FedHB: Hierarchical Bayesian Federated Learning JMLR 2025
Bayesian Persuasion with Externalities: Exploiting Agent Types AAAI 2025
On Evaluating LLMs’ Capabilities as Functional Approximators: A Bayesian Evaluation Framework COLING 2025
Dynamic Bayesian Learning for Spatiotemporal Mechanistic Models JMLR 2025
From Evidence to Belief: A Bayesian Epistemology Approach to Language Models NAACL 2025
DaringFed: A Dynamic Bayesian Persuasion Pricing for Online Federated Learning Under Two-sided Incomplete Information IJCAI 2025
EyeSeg: An Uncertainty-Aware Eye Segmentation Framework for AR/VR IJCAI 2025
Integrating Inference and Experimental Design for Contextual Behavioral Model Learning AAAI 2025
Sketching in High-Dimensional Regression With Big Data Using Gaussian Scale Mixture Priors JMLR 2025
Mixtures of Gaussian Process Experts with SMC^2 JMLR 2025
Quantitative Predictive Monitoring and Control for Safe Human-Machine Interaction AAAI 2025