Bayesian Inference

Constrained Weighted Bayesian Bootstrap UAI 2026 Covariate-dependent Hierarchical Dirichlet Processes JMLR 2026 CSF: Black-box Fingerprinting via Compositional Semantics for Text-to-Image Models CVPR 2026 Decisive: Guiding User Decisions with Optimal Preference Elicitation from Unstructured Documents ACL 2026 Decomposing Ensemble Spread in Lorenz ’96 with Learned Stochastic Parameterizations UAI 2026 Deep Spectral Learning of Embedded Latent Transfer Operators for Stochastic Dynamical Systems UAI 2026 Efficient State and Parameter Estimation of Nonlinear State-Space Models through Probabilistic Optimal Control L4DC 2026 Estimating PATE under positivity violations: SBART+SPL for high-dimensional covariates CLeaR 2026 Exploiting Concavity Information in Contextual Bandit Optimization UAI 2026 Extending Mean-Field Variational Inference via Entropic Regularization: Theory and Computation JMLR 2026 Finite Neural Networks as Mixtures of Gaussian Processes: From Provable Error Bounds to Prior Selection JMLR 2026 From Bayes’ Rule to Bayes Rules: Information Processing, Bayes’ Theorem, and Imprecise Probabilities UAI 2026 General Bayesian Policy Learning UAI 2026 Generative Bayesian Inference with GANs JMLR 2026 Generative Diffusion Priors for 3D Mapping of the Dark Universe CVPR 2026 Hierarchical Bayesian Quadrature UAI 2026 Hierarchical Causal Models JMLR 2026 Higher-Order Hit-&-Run Samplers for Linearly Constrained Densities UAI 2026 How Learning Dynamics Drive Adversarially Robust Generalization? UAI 2026 IDCR: Information-Directed Conformal Retrieval UAI 2026 Implicit Variational Rejection Sampling UAI 2026 Improving Generative Methods for Causal Evaluation via Simulation-Based Inference CLeaR 2026 Interpretable Causal Discovery via Causal-Effect Constraints UAI 2026 Is Memorization Helpful or Harmful? Prior Information Sets the Threshold COLT 2026 Label-Wise uncertainty decomposition for Multi-label Classification by Maximizing Type II Likelihood UAI 2026