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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)

Simulation-Free Hierarchical Latent Policy Planning for Proactive Dialogues AAAI 2025 SINE: Scalable MPE Inference for Probabilistic Graphical Models using Advanced Neural Embeddings AISTATS 2025 Sketching in High-Dimensional Regression With Big Data Using Gaussian Scale Mixture Priors JMLR 2025 SMART: Simulated Students Aligned with Item Response Theory for Question Difficulty Prediction EMNLP 2025 Standard Gaussian Process is All You Need for High-Dimensional Bayesian Optimization ICLR 2025 Statistical Guarantees for Lifelong Reinforcement Learning using PAC-Bayes Theory AISTATS 2025 Statistical inference on black-box generative models in the data kernel perspective space ACL 2025 Stein Boltzmann Sampling: A Variational Approach for Global Optimization AISTATS 2025 Stochasticity-aware No-Reference Point Cloud Quality Assessment IJCAI 2025 Stochastic Weight Sharing for Bayesian Neural Networks AISTATS 2025 Structural Entropy Guided Probabilistic Coding AAAI 2025 Supervised Score-Based Modeling by Gradient Boosting AAAI 2025 Synthetic Potential Outcomes and Causal Mixture Identifiability AISTATS 2025 Tamed Langevin sampling under weaker conditions AISTATS 2025 Tensor Network-Constrained Kernel Machines as Gaussian Processes AISTATS 2025 The GeometricKernels Package: Heat and Matérn Kernels for Geometric Learning on Manifolds, Meshes, and Graphs JMLR 2025 The Hardness of Validating Observational Studies with Experimental Data AISTATS 2025 The VampPrior Mixture Model AISTATS 2025 Tighter Confidence Bounds for Sequential Kernel Regression AISTATS 2025 Time-varying Gaussian Process Bandits with Unknown Prior AISTATS 2025 Towards a Bayesian hierarchical model of lexical processing NAACL 2025 Towards Comprehensive Evaluation of Open-Source Language Models: A Multi-Dimensional, User-Driven Approach ACL 2025 Toward Universal Laws of Outlier Propagation UAI 2025 TRADE: Transfer of Distributions between External Conditions with Normalizing Flows AISTATS 2025 Trading Off Quality and Uncertainty Through Multi-Objective Optimisation in Batch Bayesian Optimisation AAAI 2025