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Bayesian Inference

4821 directly classified papers

Papers per year

Papers

Error Bounds for Gaussian Process Regression Under Bounded Support Noise with Applications to Safety Certification AAAI 2025
User Preference Meets Pareto-Optimality in Multi-Objective Bayesian Optimization AAAI 2025
General Uncertainty Estimation with Delta Variances AAAI 2025
Sample-aware Adaptive Structured Pruning for Large Language Models AAAI 2025
Selective Uncertainty Propagation in Offline RL AAAI 2025
Modeling All Response Surfaces in One for Conditional Search Spaces AAAI 2025
Neural Conformal Control for Time Series Forecasting AAAI 2025
Multi-Objective Molecular Design Through Learning Latent Pareto Set AAAI 2025
Bayesian Low-Rank Learning (Bella): A Practical Approach to Bayesian Neural Networks AAAI 2025
Combining Priors with Experience: Confidence Calibration Based on Binomial Process Modeling AAAI 2025
Trusted Unified Feature-Neighborhood Dynamics for Multi-View Classification AAAI 2025
Relational Neurosymbolic Markov Models AAAI 2025
Expected Hypervolume Improvement Is a Particular Hypervolume Improvement AAAI 2025
Learning to Collaborate with Unknown Agents in the Absence of Reward AAAI 2025
Integrating Inference and Experimental Design for Contextual Behavioral Model Learning AAAI 2025
Efficient Language-instructed Skill Acquisition via Reward-Policy Co-Evolution AAAI 2025
DR-VAE: Debiased and Representation-enhanced Variational Autoencoder for Collaborative Recommendation AAAI 2025
Improving Cooperation in Language Games with Bayesian Inference and the Cognitive Hierarchy AAAI 2025
From Your Block to Our Block: How to Find Shared Structure Between Stochastic Block Models over Multiple Graphs AAAI 2025
Surprise Calibration for Better In-Context Learning EMNLP 2025
Disentangled Information Bottleneck for Adversarial Text Defense EMNLP 2025
REPEAT: Improving Uncertainty Estimation in Representation Learning Explainability AAAI 2025
EMControl: Adding Conditional Control to Text-to-Image Diffusion Models via Expectation-Maximization AAAI 2025
Partially Blinded Unlearning: Class Unlearning for Deep Networks from Bayesian Perspective AAAI 2025
Efficient Nearest Neighbor based Uncertainty Estimation for Natural Language Processing Tasks NAACL 2025