Bayesian Learning

Foundations of PEERS: Assessing LLM Role Performance in Educational Simulations ACL 2025 From Deep Additive Kernel Learning to Last-Layer Bayesian Neural Networks via Induced Prior Approximation AISTATS 2025 From Evidence to Belief: A Bayesian Epistemology Approach to Language Models NAACL 2025 Function-centric Bayesian Network for Zero-Shot Object Goal Navigation ICCV 2025 High-Dimensional Bayesian Optimisation with Gaussian Process Prior Variational Autoencoders ICLR 2025 Integrating Inference and Experimental Design for Contextual Behavioral Model Learning AAAI 2025 Inverse decision-making using neural amortized Bayesian actors ICLR 2025 Iterated Belief Change as Learning IJCAI 2025 Learning from Summarized Data: Gaussian Process Regression with Sample Quasi-Likelihood AAAI 2025 Learning with Confidence UAI 2025 LLMs for Bayesian Optimization in Scientific Domains: Are We There Yet? EMNLP 2025 MAPLE: A Framework for Active Preference Learning Guided by Large Language Models AAAI 2025 Mixtures of Gaussian Process Experts with SMC^2 JMLR 2025 Multi-Attribute Multi-Grained Adaptation of Pre-Trained Language Models for Text Understanding from Bayesian Perspective AAAI 2025 Multi-Label Bayesian Active Learning with Inter-Label Relationships UAI 2025 NUTMEG: Separating Signal From Noise in Annotator Disagreement EMNLP 2025 On Definite Iterated Belief Revision with Belief Algebras IJCAI 2025 On Evaluating LLMs’ Capabilities as Functional Approximators: A Bayesian Evaluation Framework COLING 2025 Parameter Expanded Stochastic Gradient Markov Chain Monte Carlo ICLR 2025 Quantitative Predictive Monitoring and Control for Safe Human-Machine Interaction AAAI 2025 Residual Deep Gaussian Processes on Manifolds ICLR 2025 Scalability Enhancement and Data-Heterogeneity Awareness in Gradient Tracking based Decentralized Bayesian Learning L4DC 2025 Scalability of Bayesian Network Structure Elicitation with Large Language Models: a Novel Methodology and Comparative Analysis COLING 2025 Scalable Bayesian Learning with posteriors ICLR 2025 Sketching in High-Dimensional Regression With Big Data Using Gaussian Scale Mixture Priors JMLR 2025