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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)

Measuring IIA Violations in Similarity Choices with Bayesian Models UAI 2025 M-HOF-Opt: Multi-Objective Hierarchical Output Feedback Optimization via Multiplier Induced Loss Landscape Scheduling AISTATS 2025 MiCRo: Mixture Modeling and Context-aware Routing for Personalized Preference Learning EMNLP 2025 Mixtures of Gaussian Process Experts with SMC^2 JMLR 2025 Most Probable Explanation in Probabilistic Answer Set Programming IJCAI 2025 Multi-Attribute Multi-Grained Adaptation of Pre-Trained Language Models for Text Understanding from Bayesian Perspective AAAI 2025 Multi-Label Bayesian Active Learning with Inter-Label Relationships UAI 2025 Multimodal Learning with Uncertainty Quantification based on Discounted Belief Fusion AISTATS 2025 Multinoulli Extension: A Lossless Yet Effective Probabilistic Framework for Subset Selection over Partition Constraints ICML 2025 Multi-Timescale Dynamics Model Bayesian Optimization for Plasma Stabilization in Tokamaks ICML 2025 Multi-view Privileged Information-based Representation Learning for Liver Cancer Diagnosis ACML 2025 Neural Point Processes for Pixel-wise Regression AISTATS 2025 Neural Representational Consistency Emerges from Probabilistic Neural-Behavioral Representation Alignment ICML 2025 Noise2Score3D: Tweedie's Approach for Unsupervised Point Cloud Denoising ICCV 2025 Non-intrusive Speech Quality Assessment with Diffusion Models Trained on Clean Speech Interspeech 2025 Nonparametric Bayesian inference of item-level features in classifier combination UAI 2025 Non-stationary Diffusion For Probabilistic Time Series Forecasting ICML 2025 NUTMEG: Separating Signal From Noise in Annotator Disagreement EMNLP 2025 Oddballness: universal anomaly detection with language models COLING 2025 On Consistent Bayesian Inference from Synthetic Data JMLR 2025 On Definite Iterated Belief Revision with Belief Algebras IJCAI 2025 On Evaluating LLMs’ Capabilities as Functional Approximators: A Bayesian Evaluation Framework COLING 2025 Online Student-t Processes with an Overall-local Scale Structure for Modelling Non-stationary Data AISTATS 2025 On the Consistent Recovery of Joint Distributions from Conditionals AISTATS 2025 On the Convergence of Locally Adaptive and Scalable Diffusion-Based Sampling Methods for Deep Bayesian Neural Network Posteriors AISTATS 2025