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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
127
168
460
385
2000
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Papers (including subtopics)

MMCM: Multimodality-aware Metric using Clustering-based Modes for Probabilistic Human Motion Prediction WACV 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 More than Irrational: Modeling Belief-Biased Agents AAAI 2026 Multi-view Learning via Trusted Pairwise Entity Energy AAAI 2026 MUSE: Multimodal Uncertainty-Based Self-Driven Evolution for Robust Physiological-Signal–Based Driver Fatigue Detection AAAI 2026 Negative Binomial Variational Autoencoders for Overdispersed Latent Modeling CVPR 2026 Neural Diffusion Intensity Models for Point Process Data UAI 2026 Neural Mixture Density Processes CVPR 2026 Neural Network Parameter-optimization of Gaussian Pre-marginalized Directed Acyclic Graphs JMLR 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 Online Learning and Coverage of Unknown Fields Using Random-Feature Gaussian Processes L4DC 2026 On the Computational Tractability of Probabilistic Global and Local Sufficient Explanation AAAI 2026 On the Equivalence of Random Network Distillation, Deep Ensembles, and Bayesian Inference UAI 2026 On the implicit regularization of Langevin dynamics with projected noise COLT 2026 On the Rejection Criterion for Proxy-based Test-time Alignment ACL 2026 On the Robustness of Bandit Multiple Testing AAAI 2026 Optimal Conformal Prediction under Epistemic Uncertainty UAI 2026 Optimal Sample Complexity Lower Bounds on Conditional Independence Testing COLT 2026 Optimism Stabilizes Thompson Sampling for Adaptive Inference COLT 2026