Bayesian Learning

Universal priors: solving empirical Bayes via Bayesian inference and pretraining COLT 2026 Active Task Disambiguation with LLMs ICLR 2025 Amortized Bayesian Meta-Learning for Low-Rank Adaptation of Large Language Models EMNLP 2025 A Periodic Bayesian Flow for Material Generation ICLR 2025 Approximated Variational Bayesian Inverse Reinforcement Learning for Large Language Model Alignment AAAI 2025 Are explicit belief representations necessary? A comparison between Large Language Models and Bayesian probabilistic models NAACL 2025 Bayesian Learning for Domain-Invariant Speaker Verification and Anti-Spoofing Interspeech 2025 Bayesian Optimization of Antibodies Informed by a Generative Model of Evolving Sequences ICLR 2025 Bayesian Persuasion with Externalities: Exploiting Agent Types AAAI 2025 Bayesian Treatment of the Spectrum of the Empirical Kernel in (Sub)Linear-Width Neural Networks ICLR 2025 BEDAA: Bayesian Enhanced DeBERTa for Uncertainty-Aware Authorship Attribution ACL 2025 Cache-Efficient Posterior Sampling for Reinforcement Learning with LLM-Derived Priors Across Discrete and Continuous Domains EMNLP 2025 COM-BOM: Bayesian Exemplar Search for Efficiently Exploring the Accuracy-Calibration Pareto Frontier EMNLP 2025 Comparison-based Active Preference Learning for Multi-dimensional Personalization ACL 2025 Consensus-Driven Active Model Selection ICCV 2025 Credal Wrapper of Model Averaging for Uncertainty Estimation in Classification ICLR 2025 DAGs as Minimal I-maps for the Induced Models of Causal Bayesian Networks under Conditioning JMLR 2025 DaringFed: A Dynamic Bayesian Persuasion Pricing for Online Federated Learning Under Two-sided Incomplete Information IJCAI 2025 De Novo Molecular and Crystal Design with Latent Space Bayesian Optimization AAAI 2025 Does Your AI Agent Get You? A Personalizable Framework for Approximating Human Models from Argumentation-based Dialogue Traces AAAI 2025 Dynamic Bayesian Learning for Spatiotemporal Mechanistic Models JMLR 2025 ELBO, regularized maximum likelihood, and their common one-sample approximation for training stochastic neural networks UAI 2025 EyeSeg: An Uncertainty-Aware Eye Segmentation Framework for AR/VR IJCAI 2025 FedHB: Hierarchical Bayesian Federated Learning JMLR 2025 Filtered not Mixed: Filtering-Based Online Gating for Mixture of Large Language Models ICLR 2025