← Optimization & Theory

Machine Learning › Optimization & Theory ›

Bayesian Inference

4821 directly classified papers

Papers per year

Papers

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

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

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

Toward Trustworthy AI for Decision Making in Population Health AAAI 2026

Scaling Law Analysis in Federated Learning: How to Select the Optimal Model Size? AAAI 2026

FedP²EFT: Federated Learning to Personalize PEFT for Multilingual LLMs AAAI 2026

Probabilities Are All You Need: A Probability-Only Approach to Uncertainty Estimation in Large Language Models AAAI 2026

CP-Router: An Uncertainty-Aware Router Between LLM and LRM AAAI 2026

Accommodate Knowledge Conflicts in Retrieval-augmented LLMs: Towards Robust Response Generation in the Wild AAAI 2026

Interpreting Fedspeak with Confidence: A LLM-Based Uncertainty-Aware Framework Guided by Monetary Policy Transmission Paths AAAI 2026

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

SHARE: Synthesizing Heterogeneous Autism-support Records into Evidence-based Recommendations 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

Universal EEG Epilepsy Detection via Evidential Multi-View De-Biasing AAAI 2026