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Bayesian Inference

4821 directly classified papers

Papers per year

Papers

MAPRO: Recasting Multi-Agent Prompt Optimization as Maximum a Posteriori Inference EACL 2026

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

Uncertainty Quantification for Evaluating Gender Bias in Machine Translation EACL 2026

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

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

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

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

Intra-Class Probabilistic Embeddings for Uncertainty Estimation in Vision-Language Models WACV 2026

MAQuA: Multi-outcome Adaptive Question-Asking for Mental Health using Item Response Theory EACL 2026

Cycle-Consistent Multi-Graph Matching for Self-Supervised Annotation of C. Elegans WACV 2026

BayesFlow: A Probability Inference Framework for Meta-Agent Assisted Workflow Generation EACL 2026

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

FAIR-SIGHT: Fairness Assurance in Image Recognition via Simultaneous Conformal Thresholding and Dynamic Output Repair WACV 2026

PVeRA: Probabilistic Vector-Based Random Matrix Adaptation WACV 2026

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

Evidential Semantic Entropy for LLM Uncertainty Quantification EACL 2026

BATIS: Bayesian Approaches for Targeted Improvement of Species Distribution Models AAAI 2026

Toward Trustworthy AI for Decision Making in Population Health AAAI 2026

RUL-QMoE: Multiple Non-crossing Quantile Mixture-of-Experts for Probabilistic Remaining Useful Life Predictions of Varying Battery Materials AAAI 2026

Mind the Gap: Predicting, Explaining and Reducing Time-to-First-Comment (Reply Gap) in Online Mental-Health Communities AAAI 2026

Bayesian Meta-Analyses Could Be More: A Case Study in Trial of Labor After a Cesarean-section Outcomes and Complications AAAI 2026

The Confidence Trap: Gender Bias and Predictive Certainty in LLMs AAAI 2026

Universal Learning of Stochastic Dynamics for Exact Belief Propagation Using Bernstein Normalizing Flows AAAI 2026

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

LAMDA: Two-Phase HPO via Learning Prior from Low-Fidelity Data AAAI 2026