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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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168
460
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2000
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Papers (including subtopics)

Categorical Schrödinger Bridge Matching ICML 2025 Causal Effect Estimation with Mixed Latent Confounders and Post-treatment Variables ICLR 2025 Causal Models for Growing Networks UAI 2025 Certain but not Probable? Differentiating Certainty from Probability in LLM Token Outputs for Probabilistic Scenarios EMNLP 2025 Certainty in Uncertainty: Reasoning over Uncertain Knowledge Graphs with Statistical Guarantees EMNLP 2025 CoffeeBoost: Gradient Boosting Native Conformal Inference for Bayesian Optimization AAAI 2025 COM-BOM: Bayesian Exemplar Search for Efficiently Exploring the Accuracy-Calibration Pareto Frontier EMNLP 2025 Comparison-based Active Preference Learning for Multi-dimensional Personalization ACL 2025 Computing High-dimensional Confidence Sets for Arbitrary Distributions COLT 2025 Computing Perfect Bayesian Equilibria in Sequential Auctions with Verification AAAI 2025 Concentration Distribution Learning from Label Distributions ICML 2025 Conditional Denoising Meets Polynomial Modeling: A Flexible Decoupled Framework for Time Series Forecasting IJCAI 2025 Conditional Wasserstein Distances with Applications in Bayesian OT Flow Matching JMLR 2025 Conformal Generative Modeling with Improved Sample Efficiency through Sequential Greedy Filtering ICLR 2025 Conformalized Answer Set Prediction for Knowledge Graph Embedding NAACL 2025 Conformalized Survival Analysis for General Right-Censored Data ICLR 2025 Conformal Prediction for Partial Label Learning AAAI 2025 Connecting Federated ADMM to Bayes ICLR 2025 Consensus-Driven Active Model Selection ICCV 2025 Continual Generalized Category Discovery: Learning and Forgetting from a Bayesian Perspective ICML 2025 Controlled Generation with Equivariant Variational Flow Matching ICML 2025 Convergence Analysis for General Probability Flow ODEs of Diffusion Models in Wasserstein Distances AISTATS 2025 Convergence Rates for Non-Log-Concave Sampling and Log-Partition Estimation JMLR 2025 Convex Formulations for Training Two-Layer ReLU Neural Networks ICLR 2025 Cost-aware simulation-based inference AISTATS 2025