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Bayesian Inference

4821 directly classified papers

Papers per year

Papers

Practical Global and Local Bounds in Gaussian Process Regression via Chaining AAAI 2026

Optimal Look-back Horizon for Time Series Forecasting in Federated Learning AAAI 2026

Credal Ensemble Distillation for Uncertainty Quantification AAAI 2026

Bayes-Optimal Fair Classification with Multiple Sensitive Features AAAI 2026

Fair Bayesian Data Selection via Generalized Discrepancy Measures AAAI 2026

Latent Uncertainty-Aware Multi-View SDF Scan Completion WACV 2026

PVeRA: Probabilistic Vector-Based Random Matrix Adaptation WACV 2026

Towards Reliable Test-Time Adaptation: Style Invariance as a Correctness Likelihood WACV 2026

Modeling and Learning Multiple Hypotheses for Monocular 3D Object Detection WACV 2026

Can Reasoning Help Large Language Models Capture Human Annotator Disagreement? EACL 2026

Detecting Training Data of Large Language Models via Expectation Maximization EACL 2026

Evidential Semantic Entropy for LLM Uncertainty Quantification EACL 2026

Beyond Grid Search: Leveraging Bayesian Optimization for Accelerating RAG Pipeline Optimization EACL 2026

Do NOT Classify and Count: Hybrid Attribute Control Success Evaluation EACL 2026

Conformal Feedback Alignment: Quantifying Answer-Level Reliability for Robust LLM Alignment EACL 2026

Physics-Informed Multi-Task Learning for Battery State of Health Prediction with Uncertainty Quantification AAAI 2026

Towards Ultrasound-based Reliable Disease Diagnosis Using Causal Inference AAAI 2026

Multitasks-based Deep Evidential Fusion Network for Blind Image Quality Assessment AAAI 2026

Your AI-Generated Image Detector Can Secretly Achieve SOTA Accuracy, If Calibrated AAAI 2026

VBF++: Variational Bayesian Fusion with Context-Aware Priors and Recommendation-Guided Adversarial Refinement for Multimodal Video Recommendation AAAI 2026

Information Theoretic Optimal Surveillance for Epidemic Prevalence in Networks AAAI 2026

Veli: Unsupervised Method and Unified Benchmark for Low-Cost Air Quality Sensor Correction AAAI 2026

Unified Structural Factors for Transfer Learning Generalization with PAC-Bayesian Guarantees AAAI 2026

Sparse Poisson Gamma Belief Networks for High-Dimensional Sparse Count Data AAAI 2026

Interpolated Stochastic Interventions Based on Propensity Scores, Target Policies and Treatment-Specific Costs AAAI 2026