bayesian inference

FedP²EFT: Federated Learning to Personalize PEFT for Multilingual LLMs AAAI 2026 Finite Neural Networks as Mixtures of Gaussian Processes: From Provable Error Bounds to Prior Selection JMLR 2026 Flow-Induced Diagonal Gaussian Processes AAAI 2026 From Bayes’ Rule to Bayes Rules: Information Processing, Bayes’ Theorem, and Imprecise Probabilities UAI 2026 General Bayesian Policy Learning UAI 2026 Higher-Order Hit-&-Run Samplers for Linearly Constrained Densities UAI 2026 IDCR: Information-Directed Conformal Retrieval UAI 2026 Interpretable Causal Discovery via Causal-Effect Constraints UAI 2026 Is Memorization Helpful or Harmful? Prior Information Sets the Threshold COLT 2026 Learning Dynamics from Input-Output Data with Hamiltonian Gaussian Processes L4DC 2026 Life, Machine Learning, and the Search for Habitability: Predicting Biosignature Fluxes for the Habitable Worlds Observatory AAAI 2026 LR-AdaInSeg:Adaptive Instance Segmentation of Incomplete 3D Scenes Driven by Low-Rank Networks AAAI 2026 MetaCaDI: A Meta-Learning Framework for Causal Discovery from Multiple Environments with Unknown Interventions UAI 2026 Mixing times of data-augmentation Gibbs samplers for high-dimensional probit regression JMLR 2026 Modeling Human-Like Cognition for Stance Detection: Integrating Intuitive Judgment and Analytical Reasoning ACL 2026 Nonlocal Bayesian Modeling of Continuous Spatio-Temporal Dynamics UAI 2026 On the Equivalence of Random Network Distillation, Deep Ensembles, and Bayesian Inference UAI 2026 Parameter Merging with Gradient-Guided Supermasks in Online Continual Learning AAAI 2026 PhysGS: Bayesian-Inferred Gaussian Splatting for Physical Property Estimation CVPR 2026 Practical Global and Local Bounds in Gaussian Process Regression via Chaining AAAI 2026 PRISM: Calibrated Bayesian Fusion and Auditable Attribution for Reliable LLM Event Prediction from Text UAI 2026 Provably Safe Stein Variational Clarity-Aware Informative Planning L4DC 2026 PVeRA: Probabilistic Vector-Based Random Matrix Adaptation WACV 2026 ReBaPL: Repulsive Bayesian Prompt Learning CVPR 2026 Rethinking Label Consistency of In-Context Learning: An Implicit Transductive Label Propagation Perspective AAAI 2026