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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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2000
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Papers (including subtopics)

Implicit Neural Representation Inference for Low-Dimensional Bayesian Deep Learning ICLR 2024 Improved Bayes Regret Bounds for Multi-Task Hierarchical Bayesian Bandit Algorithms NeurIPS 2024 Improved Modelling of Federated Datasets using Mixtures-of-Dirichlet-Multinomials ICML 2024 Improved Probabilistic Image-Text Representations ICLR 2024 In-Context Learning through the Bayesian Prism ICLR 2024 Incremental Randomized Smoothing Certification ICLR 2024 Inference and Learning in Dynamic Decision Networks Using Knowledge Compilation AAAI 2024 Inference in Probabilistic Answer Set Programs with Imprecise Probabilities via Optimization UAI 2024 Integrating Uncertainty Awareness into Conformalized Quantile Regression AISTATS 2024 Interpreting Predictive Probabilities: Model Confidence or Human Label Variation? EACL 2024 Intersectionality in AI Safety: Using Multilevel Models to Understand Diverse Perceptions of Safety in Conversational AI COLING 2024 Intervention and Conditioning in Causal Bayesian Networks NeurIPS 2024 Is In-Context Learning in Large Language Models Bayesian? A Martingale Perspective ICML 2024 Iterated INLA for State and Parameter Estimation in Nonlinear Dynamical Systems UAI 2024 Joint learning of Gaussian graphical models in heterogeneous dependencies of high-dimensional transcriptomic data ACML 2024 Joint Selection: Adaptively Incorporating Public Information for Private Synthetic Data AISTATS 2024 Kalman Filter for Online Classification of Non-Stationary Data ICLR 2024 Kernelised Normalising Flows ICLR 2024 Knowledge Intensive Learning of Credal Networks UAI 2024 Langevin Monte Carlo for strongly log-concave distributions: Randomized midpoint revisited ICLR 2024 LanguageFlow: Advancing Diffusion Language Generation with Probabilistic Flows NAACL 2024 Latent Gaussian Graphical Models with Golazo Penalty PGM 2024 Latent variable model for high-dimensional point process with structured missingness ICML 2024 Learning-Augmented Dynamic Submodular Maximization NeurIPS 2024 Learning Bayesian Network Classifiers to Minimize the Class Variable Parameters AAAI 2024