← Optimization & Theory

Machine Learning › Optimization & Theory ›

Bayesian Inference

4821 directly classified papers

Papers per year

Papers

Evidence-aware Integration and Domain Identification of Spatial Transcriptomics Data AAAI 2026

Designing Optimal Mechanisms to Locate Facilities with Insufficient Capacity for Bayesian Agents AAAI 2026

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

GUIDER: Uncertainty Guided Dynamic Re-ranking for Large Language Models Based Recommender Systems AAAI 2026

CSP4SDG: Constraint and Information-Theory Based Role Identification in Social Deduction Games with LLM-Enhanced Inference AAAI 2026

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

Gaussian Uncertainty-Driven Multi-Model Fitting with Graph Neural Network AAAI 2026

Temporal-Consistent Video Restoration with Pre-trained Diffusion Models AAAI 2026

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

Bayesian Neural Networks for One-to-Many Mapping in Image Enhancement AAAI 2026

BayesVQA: Energy-Guided Bayesian Debiasing for Language-Bias-Robust Visual Question Answering AAAI 2026

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

On the Probabilistic Learnability of Compact Neural Network Preimage Bounds AAAI 2026

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

Unveiling the Landscape of Clinical Depression Assessment: From Behavioral Signatures to Psychiatric Reasoning AAAI 2026

Modelling the Effects of Hearing Loss on Neural Coding in the Auditory Midbrain with Variational Conditioning AAAI 2026

Estimating Online Influence Needs Causal Modeling! Counterfactual Analysis of Misinformation Engagement on Social Media AAAI 2026

Efficient Protein Optimization via Structure-aware Hamiltonian Dynamics AAAI 2026

MUSE: Multimodal Uncertainty-Based Self-Driven Evolution for Robust Physiological-Signal–Based Driver Fatigue Detection AAAI 2026

Sampling-Free Uncertainty Quantification via Hidden State Dynamics in Language Models AAAI 2026

Fair Bayesian Data Selection via Generalized Discrepancy Measures AAAI 2026

Explore How to Inject Beneficial Noise in MLLMs AAAI 2026

Function-on-Function Bayesian Optimization AAAI 2026

Credal Ensemble Distillation for Uncertainty Quantification AAAI 2026

Bayes-Optimal Fair Classification with Multiple Sensitive Features AAAI 2026