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Bayesian Inference

1724 directly classified papers

Papers per year

Papers

Bayesian-Inspired Space-Time Superpixels ICCV 2025
Leveraging Human Input to Enable Robust, Interactive, and Aligned AI Systems AAAI 2025
BUFF: Bayesian Uncertainty Guided Diffusion Probabilistic Model for Single Image Super-Resolution AAAI 2025
Auto Encoding Neural Process for Multi-interest Recommendation AAAI 2025
Does Your AI Agent Get You? A Personalizable Framework for Approximating Human Models from Argumentation-based Dialogue Traces AAAI 2025
Bayesian Sparse Gaussian Mixture Model for Clustering in High Dimensions JMLR 2025
Adjusted Expected Improvement for Cumulative Regret Minimization in Noisy Bayesian Optimization JMLR 2025
K-Sort Arena: Efficient and Reliable Benchmarking for Generative Models via K-wise Human Preferences CVPR 2025
Fine-Grained Change Point Detection for Topic Modeling with Pitman-Yor Process JMLR 2025
QPruner: Probabilistic Decision Quantization for Structured Pruning in Large Language Models NAACL 2025
Low-Entropy Watermark Detection via Bayes’ Rule Derived Detector ACL 2025
How good is your Laplace approximation of the Bayesian posterior? Finite-sample computable error bounds for a variety of useful divergences JMLR 2025
Bayesian Data Sketching for Varying Coefficient Regression Models JMLR 2025
Interpretable Mnemonic Generation for Kanji Learning via Expectation-Maximization EMNLP 2025
Few-Shot Open-Set Classification via Reasoning-Aware Decomposition EMNLP 2025
Cache-Efficient Posterior Sampling for Reinforcement Learning with LLM-Derived Priors Across Discrete and Continuous Domains EMNLP 2025
Frequentist Guarantees of Distributed (Non)-Bayesian Inference JMLR 2025
On the Same Wavelength? Evaluating Pragmatic Reasoning in Language Models across Broad Concepts EMNLP 2025
REALM: Recursive Relevance Modeling for LLM-based Document Re-Ranking EMNLP 2025
Surprise Calibration for Better In-Context Learning EMNLP 2025
Graph-accelerated Markov Chain Monte Carlo using Approximate Samples JMLR 2025
CLIPScope: Enhancing Zero-Shot OOD Detection with Bayesian Scoring WACV 2025
Guideline Compliance in Task-Oriented Dialogue: The Chained Prior Approach NAACL 2025
Prior2Former - Evidential Modeling of Mask Transformers for Assumption-Free Open-World Panoptic Segmentation ICCV 2025
NUTMEG: Separating Signal From Noise in Annotator Disagreement EMNLP 2025