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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)

Combining Priors with Experience: Confidence Calibration Based on Binomial Process Modeling AAAI 2025 COM-BOM: Bayesian Exemplar Search for Efficiently Exploring the Accuracy-Calibration Pareto Frontier EMNLP 2025 Community-Aware Variational Autoencoder for Continuous Dynamic Networks AAAI 2025 Composition and Control with Distilled Energy Diffusion Models and Sequential Monte Carlo AISTATS 2025 Conditional Diffusion Models Based Conditional Independence Testing AAAI 2025 Conditional diffusions for amortized neural posterior estimation AISTATS 2025 Conditional Feature Importance with Generative Modeling Using Adversarial Random Forests AAAI 2025 Conditioning diffusion models by explicit forward-backward bridging AISTATS 2025 Constrained Multi-objective Bayesian Optimization through Optimistic Constraints Estimation AISTATS 2025 Constrained Preferential Bayesian Optimization and Its Application in Banner Ad Design IJCAI 2025 Copula Based Trainable Calibration Error Estimator of Multi-Label Classification with Label Interdependencies AISTATS 2025 Cost-aware simulation-based inference AISTATS 2025 Credal Two-Sample Tests of Epistemic Uncertainty AISTATS 2025 Credibility-Aware Multimodal Fusion Using Probabilistic Circuits AISTATS 2025 Cross-Framework Generalizable Discourse Relation Classification Through Cognitive Dimensions NAACL 2025 Debiased Active Learning with Variational Gradient Rectifier AAAI 2025 Decomposed Quadratization: Efficient QUBO Formulation for Learning Bayesian Network AAAI 2025 Decoupling epistemic and aleatoric uncertainties with possibility theory AISTATS 2025 Deep-change at CoMeDi: the Cross-Entropy Loss is not All You Need COLING 2025 Deep Generative Quantile Bayes AISTATS 2025 Deep Optimal Sensor Placement for Black Box Stochastic Simulations AISTATS 2025 DeFine: Decision-Making with Analogical Reasoning over Factor Profiles ACL 2025 De Novo Molecular and Crystal Design with Latent Space Bayesian Optimization AAAI 2025 Determine the Number of States in Hidden Markov Models via Marginal Likelihood JMLR 2025 Differentiable Calibration of Inexact Stochastic Simulation Models via Kernel Score Minimization AISTATS 2025