bayesian inference

Adaptive Bayesian Early-Exit Networks for Efficient Non-Transferable Learning CVPR 2026 All Vehicles Can Lie: Efficient Adversarial Defense in Fully Untrusted-Vehicle Collaborative Perception via Pseudo-Random Bayesian Inference CVPR 2026 APIC: Amortized Physics-Informed Calibration using Neural Processes UAI 2026 B$^3$-Seg: Camera-Free, Training-Free 3DGS Segmentation via Analytic EIG and Beta-Bernoulli Bayesian Updates CVPR 2026 BA-GS: Bayesian Adaptive Gaussian Splatting for SFM-Free 3D Reconstruction CVPR 2026 BayesAgent: Bayesian Agentic Reasoning Under Uncertainty via Verbalized Probabilistic Graphical Modeling AAAI 2026 BayesFlow: A Probability Inference Framework for Meta-Agent Assisted Workflow Generation EACL 2026 Bayesian Causal Discovery in Directed Cyclic Graphs with Closed-Form Lag Bayes Factors UAI 2026 Bayesian Causal Discovery Networks for Linear Mixed Data CLeaR 2026 Bayesian Hierarchical Invariant Prediction CLeaR 2026 Bayesian Inference of Contextual Bandit Policies via Empirical Likelihood JMLR 2026 Bayesian Meta-Analyses Could Be More: A Case Study in Trial of Labor After a Cesarean-section Outcomes and Complications AAAI 2026 Bayesian Symbolic Regression with Entropic Reinforcement Learning UAI 2026 Beyond Heuristic Prompting: A Concept-Guided Bayesian Framework for Zero-Shot Image Recognition CVPR 2026 Causal Discovery with Metadata-Informed Latent Types UAI 2026 Causal Inference Under Threshold Manipulation: Bayesian Mixture Modeling and Heterogeneous Treatment Effects AAAI 2026 CGU-Bayes: Causal Graph Uncertainty-Guided Bayesian Inference for Domain Generalization CVPR 2026 Conditional neural control variates for variance reduction in Bayesian inverse problems UAI 2026 CSF: Black-box Fingerprinting via Compositional Semantics for Text-to-Image Models CVPR 2026 CSP4SDG: Constraint and Information-Theory Based Role Identification in Social Deduction Games with LLM-Enhanced Inference AAAI 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 Extending Mean-Field Variational Inference via Entropic Regularization: Theory and Computation JMLR 2026 Fair Bayesian Data Selection via Generalized Discrepancy Measures AAAI 2026 FedCure: Mitigating Participation Bias in Semi-Asynchronous Federated Learning with Non-IID Data AAAI 2026