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Bayesian Inference

4821 directly classified papers

Papers per year

Papers

Denoising Diffusion Variational Inference: Diffusion Models as Expressive Variational Posteriors AAAI 2025
How good is your Laplace approximation of the Bayesian posterior? Finite-sample computable error bounds for a variety of useful divergences JMLR 2025
Multimodal Variational Autoencoder: A Barycentric View AAAI 2025
Error Bounds for Gaussian Process Regression Under Bounded Support Noise with Applications to Safety Certification AAAI 2025
Reference-Based Post-OCR Processing with LLM for Precise Diacritic Text in Historical Document Recognition AAAI 2025
Self-Evolutionary Large Language Models Through Uncertainty-Enhanced Preference Optimization AAAI 2025
Multi-Objective Molecular Design Through Learning Latent Pareto Set AAAI 2025
Sample-aware Adaptive Structured Pruning for Large Language Models AAAI 2025
Bayesian Data Sketching for Varying Coefficient Regression Models JMLR 2025
Decoupling Metacognition from Cognition: A Framework for Quantifying Metacognitive Ability in LLMs AAAI 2025
Adaptive Sampling to Reduce Epistemic Uncertainty Using Prediction Interval-Generation Neural Networks AAAI 2025
General Uncertainty Estimation with Delta Variances AAAI 2025
Uncertainty in Semantic Language Modeling with PIXELS EMNLP 2025
LoTUS: Large-Scale Machine Unlearning with a Taste of Uncertainty CVPR 2025
On the Role of Unobserved Sequences on Sample-based Uncertainty Quantification for LLMs EMNLP 2025
Adaptive Deep Learning from Crowds IJCAI 2025
Identifying Drivers of Predictive Aleatoric Uncertainty IJCAI 2025
CDI: Copyrighted Data Identification in Diffusion Models CVPR 2025
K-Sort Arena: Efficient and Reliable Benchmarking for Generative Models via K-wise Human Preferences CVPR 2025
Adjusted Expected Improvement for Cumulative Regret Minimization in Noisy Bayesian Optimization JMLR 2025
Bayesian Sparse Gaussian Mixture Model for Clustering in High Dimensions JMLR 2025
CMMLoc: Advancing Text-to-PointCloud Localization with Cauchy-Mixture-Model Based Framework CVPR 2025
Learning to Sample Effective and Diverse Prompts for Text-to-Image Generation CVPR 2025
Phases of Uncertainty: Confidence–Calibration Dynamics in Language Model Training EMNLP 2025
Bayesian Test-Time Adaptation for Vision-Language Models CVPR 2025