Bayesian & Probabilistic

GS^2: Graph-based Spatial Distribution Optimization for Compact 3D Gaussian Splatting CVPR 2026 GUIDER: Uncertainty Guided Dynamic Re-ranking for Large Language Models Based Recommender Systems AAAI 2026 Harmonized Feature Conditioning and Frequency-Prompt Personalization for Multi-Rater Medical Segmentation CVPR 2026 Hierarchical Bayesian Quadrature UAI 2026 Hierarchical Causal Models JMLR 2026 Higher-Order Hit-&-Run Samplers for Linearly Constrained Densities UAI 2026 High-Order Markov Blanket Discovery via a k-Order Relaxation of the Faithfulness Assumption UAI 2026 How Good Are Inducing Points for Dataset Distillation? (Student Abstract) AAAI 2026 How Learning Dynamics Drive Adversarially Robust Generalization? UAI 2026 How Should We Model the Probability of a Language? EACL 2026 IDCR: Information-Directed Conformal Retrieval UAI 2026 IF-Prune: Information-Flow Guided Token Pruning for Efficient Vision-Language Models CVPR 2026 Implicit Learning for Reasoning in First-Order Probabilistic Logic UAI 2026 Implicit Variational Rejection Sampling UAI 2026 Imprecise Probabilities for Privacy–Accuracy Trade-offs in Bayesian Networks UAI 2026 Improving Generative Methods for Causal Evaluation via Simulation-Based Inference CLeaR 2026 Impute Missing Entries with Uncertainty AAAI 2026 Information-Theoretic Decomposition for Multimodal Interaction Learning CVPR 2026 Information-theoretic signatures of causality in Bayesian networks and hypergraphs CLeaR 2026 Instance Dependent Testing of Samplers Using Interval Conditioning AAAI 2026 Instrumental and Proximal Causal Inference with Gaussian Processes UAI 2026 Interactive Multi-Objective Probabilistic Preference Learning with Soft and Hard Bounds UAI 2026 Interpretable Causal Discovery via Causal-Effect Constraints UAI 2026 Intra-Class Probabilistic Embeddings for Uncertainty Estimation in Vision-Language Models WACV 2026 Is Memorization Helpful or Harmful? Prior Information Sets the Threshold COLT 2026