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- INLA for Adaptive UAV Sampling of Radio Environment Maps in IoT Networks: Prior Width Governs Accuracy and Calibration
- The Geometry of Multitask Learning: Sharp Rates for Shared Subspace Estimation
- Hypergraph cycle enumeration for efficient inference of planted k-XOR with smooth trade-off
- Model-Agnostic Search for New Physics in the Presence of Imperfect Background by Smearing the Data
- An ODE-based Sampler for Discrete Diffusion Models
- A case study of hybrid statistical models for analyzing spatio-temporal effects in historical map series of Donau-Ries county
- Numerical Integration on Bounded Domains via Learned Reflected Diffusions
- Weak Factor Recovery in Sparse Bayesian Factor Models under Exchangeable Shrinkage Process Prior
- Rural Readiness: Domain Generalization with Adversarially Chosen Domains
- Conformal ordering: Distribution-free predictive inference for orders and rank
- Reframing Spatial Uncertainty Visualisation with a Layered Grammar of Graphics
- Conformal Annotation with Randomized Expert Review: Application to Online Cell-Type Labeling
- Homogeneity Pursuit of Panel Data with Sparsity
- Understanding axial attention in TSFMs through single location regression
- Hidden Disparities in Ranking: Category-Aware Fairness via Distributional Stability
- Closing the Log Gap: Minimax-Optimal Regret for Episodic RL
- Fisher Contrastive Learning to Mitigate Feature Suppression: A Case Study in Acute Promyelocytic Leukemia Diagnosis
- Reinforcement Learning Under Runtime Confounding: Policy Learning and Off-Policy Evaluation
- Adaptive Sequential Surveillance of Infectious Diseases Under Limited Sampling Capacity
- Outcome-dependent density combination by mixture Bayesian predictive synthesis
- Probabilistic Meshless Methods on Manifolds
- Reference-based multiple imputation for longitudinal bounded discrete outcomes
- Bayes-Consistent Losses for Adaptive Inference in Classification
- Generalized Posterior Calibration via Infinitesimal-Jackknife Variance Matching
- Scaling of Interface Variability in Aerospace Composite Structures: A Multi-scale Stochastic Approach from Local Identification to Panel Response