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Bayesian & Probabilistic

5,407 papers (3 classified directly here)

Subtopics · a paper can sit in several, so these overlap

Probabilistic Modeling (3,137) Bayesian Learning (1,734) Bayesian Inference (1,087) Variational Inference (275) Bayesian Networks (103) Gaussian Processes (88)

Papers per year

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9
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2000
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Papers (including subtopics)

Structural Drift Repair in Decision Trees via Bayesian Model-Based Diagnosis UAI 2026 Structured Credal Learning UAI 2026 Symmetric Aggregation of Conformity Scores for Efficient Uncertainty Sets AAAI 2026 TableMBR: Minimum Bayes Risk Table Generation Based on Structural Consistency ACL 2026 TAIGR: Towards Modeling Influencer Content on Social Media via Structured, Pragmatic Inference ACL 2026 Temporal Properties of Conditional Independence in Dynamic Bayesian Networks AAAI 2026 Testing the Trust: Verification and Validation of Bayesian Segmentation under Uncertainty MIDL 2026 The Energy of Falsehood: Detecting Hallucinations via Diffusion Model Likelihoods EACL 2026 The Fixed-Point of Distrust: A Formal Theory of Perceived Systemic Incompetence AAAI 2026 The Prosody of Emojis ACL 2026 The relative value of interventional and observational samples in Bayesian Causal Linear Gaussian Models UAI 2026 The surrogate Gibbs-posterior of a corrected stochastic MALA: Towards uncertainty quantification for neural networks JMLR 2026 The Universal Normal Embedding CVPR 2026 The Within-Orbit Adaptive Leapfrog No-U-Turn Sampler JMLR 2026 Think How Your Teammates Think: Active Inference Can Benefit Decentralized Execution AAAI 2026 Time Series Forecasting via Direct Per-Step Probability Distribution Modeling AAAI 2026 TOFA: Training-Free One-Shot Federated Adaptation for Vision-Language Models AAAI 2026 Towards A Scanpath-Conditioned Surprisal Theory: Modeling Reader Information States ACL 2026 Towards Knowledge-augmented Bayesian Deep Learning For Computer Vision CVPR 2026 Towards Stable Federated Continual Test-Time Adaptation in Wild World CVPR 2026 Traces of Social Competence in Large Language Models CoNLL 2026 Training-free Detection of Generated Videos via Spatial-Temporal Likelihoods CVPR 2026 Transformer Based Bayesian Network Structure Learning from an Information Theory Perspective UAI 2026 TrustEnergy: A Unified Framework for Accurate and Reliable User-level Energy Usage Prediction AAAI 2026 Uncertainty-Aware Routing for Principled Alignment with MoE Dynamics ACL 2026