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Bayesian & Probabilistic

4,733 papers (2 classified directly here)

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

Probabilistic Modeling (2,617) Variational Inference (898) Gaussian Processes (666) Bayesian Learning (483) Markov Chain Monte Carlo (374) Bayesian Optimization (284) Nonparametric Bayesian (174) Bayesian Networks (149) Conditional Random Fields (39)

Papers per year

10
142
164
411
308
'5
'10
'15
'20
'25

Papers (including subtopics)

Pick-to-Learn and Self-Certified Gaussian Process Approximations AISTATS 2025 posteriordb: Testing, Benchmarking and Developing Bayesian Inference Algorithms AISTATS 2025 Predicate-Conditional Conformalized Answer Sets for Knowledge Graph Embeddings ACL 2025 Predicting Adolescent Suicidal Risk from Multi-task-based Speech: An Ensemble Learning Approach Interspeech 2025 Predicting Median, Disagreement and Noise Label in Ordinal Word-in-Context Data COLING 2025 Probabilistic Conformal Prediction with Approximate Conditional Validity ICLR 2025 Probabilistic Forecasting of Irregularly Sampled Time Series with Missing Values via Conditional Normalizing Flows AAAI 2025 Probabilistic Graph Circuits: Deep Generative Models for Tractable Probabilistic Inference over Graphs UAI 2025 Probabilistic Semantics Guided Discovery of Approximate Functional Dependencies UAI 2025 Probabilistic Soundness Guarantees in LLM Reasoning Chains EMNLP 2025 ProbMED: A Probabilistic Framework for Medical Multimodal Binding ICCV 2025 ProbPose: A Probabilistic Approach to 2D Human Pose Estimation CVPR 2025 ProbRes: Probabilistic Jump Diffusion for Open-World Egocentric Activity Recognition ICCV 2025 Procedural Synthesis of Synthesizable Molecules ICLR 2025 ProPose: Probabilistic 3D Human Pose Estimation with Instance-Level Distribution and Normalizing Flow AAAI 2025 PROSAC: Provably Safe Certification for Machine Learning Models under Adversarial Attacks AAAI 2025 Provable Benefit of Annealed Langevin Monte Carlo for Non-log-concave Sampling ICLR 2025 Provable Convergence and Limitations of Geometric Tempering for Langevin Dynamics ICLR 2025 Provable Convergence Bounds for Hybrid Dynamical Sampling and Optimization ICLR 2025 Proximal Interacting Particle Langevin Algorithms UAI 2025 Proximal Sampler with Adaptive Step Size AISTATS 2025 Proxy-informed Bayesian transfer learning with unknown sources UAI 2025 qPOTS: Efficient Batch Multiobjective Bayesian Optimization via Pareto Optimal Thompson Sampling AISTATS 2025 RD-MCSA: A Multi-Class Sentiment Analysis Approach Integrating In-Context Classification Rationales and Demonstrations EMNLP 2025 Realizing AI for Impact: Towards Participatory Human-AI Collaboration for Water Conservation and Reproductive Health AAAI 2025