Bayesian Inference

LazyDINO: Fast, Scalable, and Efficiently Amortized Bayesian Inversion via Structure-Exploiting and Surrogate-Driven Measure Transport JMLR 2026 Learning Dynamics from Input-Output Data with Hamiltonian Gaussian Processes L4DC 2026 Learning What to Trust: Bayesian Prior-Guided Optimization for Visual Generation CVPR 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 Model-Agnostic Online Certificate-Driven Calibration for Time Series Forecasting Under Distribution Shift UAI 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 Nonparametric Deep Fine-grained Clustering with Low-Rank Guided Vision-Language Model CVPR 2026 Nonparametric Greedy Equivalence Search with Prior-Fitted Networks CLeaR 2026 Not Just How Much, But Where: Decomposing Epistemic Uncertainty into Per-Class Contributions UAI 2026 Online Adaptive Probabilistic Safety Certificate with Language Guidance L4DC 2026 Online Bernstein-von Mises theorem JMLR 2026 On the Equivalence of Random Network Distillation, Deep Ensembles, and Bayesian Inference UAI 2026 Optimism Stabilizes Thompson Sampling for Adaptive Inference COLT 2026 Optimizing Likelihoods via Mutual Information: Bridging Simulation-Based Inference and Bayesian Optimal Experimental Design UAI 2026 PhysGS: Bayesian-Inferred Gaussian Splatting for Physical Property Estimation CVPR 2026 Possibilistic Instrumental Variable Regression with Potentially Invalid Instruments UAI 2026 PRISM: Calibrated Bayesian Fusion and Auditable Attribution for Reliable LLM Event Prediction from Text UAI 2026 Probabilistic Edge Modulation for High-Dimensional Causal Discovery UAI 2026 Proofbusters at SemEval-2026 Task 11: Neuro-Symbolic Syllogistic Reasoning via LLM-Guided Structure Extraction and Deterministic Validation SemEval 2026 PTC-Depth: Pose-Refined Monocular Depth Estimation with Temporal Consistency CVPR 2026 py/cuTAGI: An Open-Source Library for Tractable Approximate Gaussian Inference in Bayesian Neural Networks JMLR 2026 Quantifying Aleatoric Uncertainty of In-Context Learning for Robust Measure of LLM Prediction Confidence ACL 2026 Readers make targeted regressions to plausible errors in reanalysis of “noisy-channel garden-path” sentences CoNLL 2026