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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)

Pre-trained Language Models Return Distinguishable Probability Distributions to Unfaithfully Hallucinated Texts EMNLP 2024 Principal Component Analysis as a Sanity Check for Bayesian Phylolinguistic Reconstruction COLING 2024 Principled Bayesian Optimization in Collaboration with Human Experts NeurIPS 2024 Prior-itizing Privacy: A Bayesian Approach to Setting the Privacy Budget in Differential Privacy NeurIPS 2024 Probabilistic Conformal Distillation for Enhancing Missing Modality Robustness NeurIPS 2024 Probabilistic Decomposed Linear Dynamical Systems for Robust Discovery of Latent Neural Dynamics NeurIPS 2024 Probabilistic Forecasting with Generative Networks via Scoring Rule Minimization JMLR 2024 Probabilistic Forecasting with Stochastic Interpolants and Föllmer Processes ICML 2024 Probabilistic Generating Circuits - Demystified ICML 2024 Probabilistic Integral Circuits AISTATS 2024 Probabilistic Modeling for Sequences of Sets in Continuous-Time AISTATS 2024 Probabilistic Modeling of Interpersonal Coordination Processes ICML 2024 Probabilistic Neural Circuits AAAI 2024 Probabilistic Offline Policy Ranking with Approximate Bayesian Computation AAAI 2024 Probabilistic Self-supervised Representation Learning via Scoring Rules Minimization ICLR 2024 Probabilistic size-and-shape functional mixed models NeurIPS 2024 Proceedings of the Fortieth Conference on Uncertainty in Artificial Intelligence – Preface UAI 2024 Products, Abstractions and Inclusions of Causal Spaces UAI 2024 Protein Discovery with Discrete Walk-Jump Sampling ICLR 2024 Provable Posterior Sampling with Denoising Oracles via Tilted Transport NeurIPS 2024 Proving Test Set Contamination in Black-Box Language Models ICLR 2024 Q-conjugate Message Passing for Efficient Bayesian Inference PGM 2024 Qualitative Mechanism Independence NeurIPS 2024 Quantifying Uncertainty in Motion Prediction with Variational Bayesian Mixture CVPR 2024 Quasi-Bayes meets Vines NeurIPS 2024