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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)

The surrogate Gibbs-posterior of a corrected stochastic MALA: Towards uncertainty quantification for neural networks JMLR 2026 The Within-Orbit Adaptive Leapfrog No-U-Turn Sampler JMLR 2026 TriSim: Tri-Dimensional Similarity Modeling with Extreme Value Theory for False-Negative Mitigation in Remote Sensing Image-Text Retrieval CVPR 2026 Two-way Node Popularity Model for Directed and Bipartite Networks JMLR 2026 UKPPsycontrol at SemEval-2026 Task 2: Modeling Valence and Arousal Dynamics from Text SemEval 2026 Underdamped Langevin MCMC with third order convergence JMLR 2026 Variance Reduction for Non-Log-Concave Sampling with Applications to Inverse Problems UAI 2026 Variational OOD State Correction for Offline Reinforcement Learning AAAI 2026 VaSST: Variational Inference for Symbolic Regression using Soft Symbolic Trees UAI 2026 Vecchia-Inducing-Points Full-Scale Approximations for Gaussian Processes JMLR 2026 Vector-Valued Gaussian Processes for Approximating Divergence- or Rotation-free Vector Fields JMLR 2026 Vector-valued self-normalized concentration inequalities beyond sub-Gaussianity ALT 2026 3DPGS: 3D Probabilistic Graph Search for Archaeological Piece Grouping AAAI 2025 A Bayesian account of pronoun and neopronoun acquisition NAACL 2025 A Bayesian Approach to Inferring Prerequisite Structures and Topic Difficulty in Language Learning ACL 2025 Accelerating Multimodal Large Language Models by Searching Optimal Vision Token Reduction CVPR 2025 Accounting for Sycophancy in Language Model Uncertainty Estimation NAACL 2025 Accurate and Scalable Stochastic Gaussian Process Regression via Learnable Coreset-based Variational Inference UAI 2025 A Conditional Probability Framework for Compositional Zero-shot Learning ICCV 2025 A Copula-Based Generative Score-Level Fusion Model for Speaker Verification Interspeech 2025 AcrosticSleuth: Probabilistic Identification and Ranking of Acrostics in Multilingual Corpora NAACL 2025 Adaptive Deep Learning from Crowds IJCAI 2025 Adaptive RKHS Fourier Features for Compositional Gaussian Process Models AISTATS 2025 Addressing Cold-Start Problem in Click-Through Rate Prediction via Supervised Diffusion Modeling AAAI 2025 A Deep Probabilistic Framework for Continuous Time Dynamic Graph Generation AAAI 2025