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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
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'15
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'25

Papers (including subtopics)

Recursive Learning of Asymptotic Variational Objectives AISTATS 2025 Reducing Unimodal Bias in Multi-Modal Semantic Segmentation with Multi-Scale Functional Entropy Regularization ICCV 2025 Regular-pattern-sensitive CRFs for Distant Label Interactions ACL 2025 Reinforcement Learning for Adaptive MCMC AISTATS 2025 Relational Neurosymbolic Markov Models AAAI 2025 Relation-Augmented Dueling Bayesian Optimization via Preference Propagation IJCAI 2025 Relaxed Gaussian Process Interpolation: a Goal-Oriented Approach to Bayesian Optimization JMLR 2025 Residual Reweighted Conformal Prediction for Graph Neural Networks UAI 2025 Resource-Rational Noisy-Channel Language Processing: Testing the Effect of Algorithmic Constraints on Inferences EMNLP 2025 Restructuring Tractable Probabilistic Circuits AISTATS 2025 RESuM: A Rare Event Surrogate Model for Physics Detector Design ICLR 2025 Riemann$^2$: Learning Riemannian Submanifolds from Riemannian Data AISTATS 2025 Risk-Sensitive Variational Actor-Critic: A Model-Based Approach ICLR 2025 Robust Multi-fidelity Bayesian Optimization with Deep Kernel and Partition AISTATS 2025 Robust Optimization with Diffusion Models for Green Security UAI 2025 Robust Score Matching AISTATS 2025 RPMIL: Rethinking Uncertainty-Aware Probabilistic Multiple Instance Learning for Whole Slide Pathology Diagnosis IJCAI 2025 Safe exploration in reproducing kernel Hilbert spaces AISTATS 2025 Sampling from Bayesian Neural Network Posteriors with Symmetric Minibatch Splitting Langevin Dynamics AISTATS 2025 Sampling From Multiscale Densities With Delayed Rejection Generalized Hamiltonian Monte Carlo AISTATS 2025 Scalability Enhancement and Data-Heterogeneity Awareness in Gradient Tracking based Decentralized Bayesian Learning L4DC 2025 Scalable and Adaptive Variational Bayes Methods for Hawkes Processes JMLR 2025 Score-Based Training for Energy-Based TTS Models Interspeech 2025 Sequential Controlled Langevin Diffusions ICLR 2025 Sequential keypoint density estimator: an overlooked baseline of skeleton-based video anomaly detection ICCV 2025