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Bayesian & Probabilistic

4,335 papers (2 classified directly here)

Subtopics

Probabilistic Modeling (2,599) Bayesian Learning (1,663) Bayesian Inference (523) Variational Inference (107) Gaussian Processes (6) Bayesian Networks (5)

Papers per year

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Papers (including subtopics)

OntoFact: Unveiling Fantastic Fact-Skeleton of LLMs via Ontology-Driven Reinforcement Learning AAAI 2024
Domain Invariant Learning for Gaussian Processes and Bayesian Exploration AAAI 2024
ScoreHypo: Probabilistic Human Mesh Estimation with Hypothesis Scoring CVPR 2024
Explaining Mixtures of Sources in News Articles EMNLP 2024
Towards Human-Like Machine Comprehension: Few-Shot Relational Learning in Visually-Rich Documents COLING 2024
On the Computational Complexity of Metropolis-Adjusted Langevin Algorithms for Bayesian Posterior Sampling JMLR 2024
LanguageFlow: Advancing Diffusion Language Generation with Probabilistic Flows NAACL 2024
TreeVI: Reparameterizable Tree-structured Variational Inference for Instance-level Correlation Capturing NIPS 2024
Probabilistic Conformal Distillation for Enhancing Missing Modality Robustness NIPS 2024
Identifying and Addressing Disparities in Public Libraries with Bayesian Latent Variable Modeling AAAI 2024
Small coresets via negative dependence: DPPs, linear statistics, and concentration NIPS 2024
Online Bayesian Persuasion Without a Clue NIPS 2024
MMToM-QA: Multimodal Theory of Mind Question Answering ACL 2024
Functional Directed Acyclic Graphs JMLR 2024
Consistency of Neural Causal Partial Identification NIPS 2024
Revising Beliefs and Intentions in Stochastic Environments IJCAI 2024
ARM: Alignment with Residual Energy-Based Model NAACL 2024
Probabilistic Neural Circuits AAAI 2024
Seeing Unseen: Discover Novel Biomedical Concepts via Geometry-Constrained Probabilistic Modeling CVPR 2024
Qualitative Mechanism Independence NIPS 2024
Piecewise Linear Transformation – Propagating Aleatoric Uncertainty in Neural Networks AAAI 2024
Bayesian Inference with Complex Knowledge Graph Evidence AAAI 2024
Sparse Graphical Linear Dynamical Systems JMLR 2024
HHD-GP: Incorporating Helmholtz-Hodge Decomposition into Gaussian Processes for Learning Dynamical Systems NIPS 2024
Computation-Aware Gaussian Processes: Model Selection And Linear-Time Inference NIPS 2024