← Optimization & Theory
Machine Learning › Optimization & Theory ›

Bayesian Inference

4821 directly classified papers

Papers per year

Papers

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
PAGPL: Privacy-Aware Graph Prompt Learning Scheme via Adaptive Perturbation-Estimated Topology Recovery AAAI 2026
Practical Global and Local Bounds in Gaussian Process Regression via Chaining AAAI 2026
Exact Shapley Attributions in Quadratic-time for FANOVA Gaussian Processes AAAI 2026
Optimal Look-back Horizon for Time Series Forecasting in Federated Learning AAAI 2026
Credal Ensemble Distillation for Uncertainty Quantification AAAI 2026
Learning Vision-Based Neural Network Controllers with Semi-Probabilistic Safety Guarantees AAAI 2026
On the Probabilistic Learnability of Compact Neural Network Preimage Bounds 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
AgentPro: Enhancing LLM Agents with Automated Process Supervision EMNLP 2025
A Fully Probabilistic Perspective on Large Language Model Unlearning: Evaluation and Optimization EMNLP 2025
Med-PRM: Medical Reasoning Models with Stepwise, Guideline-verified Process Rewards EMNLP 2025
Model-based Large Language Model Customization as Service EMNLP 2025
pFedGPT: Hierarchically Optimizing LoRA Aggregation Weights for Personalized Federated GPT Models EMNLP 2025
Probabilistic Soundness Guarantees in LLM Reasoning Chains EMNLP 2025
Beyond the Score: Uncertainty-Calibrated LLMs for Automated Essay Assessment EMNLP 2025
Distribution-Free Uncertainty Quantification in Mechanical Ventilation Treatment: A Conformal Deep Q-Learning Framework AAAI 2025
Optimizing Heat Alert Issuance with Reinforcement Learning AAAI 2025
Context in Public Health for Underserved Communities: A Bayesian Approach to Online Restless Bandits AAAI 2025