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Papers
CGU-Bayes: Causal Graph Uncertainty-Guided Bayesian Inference for Domain Generalization
CVPR 2026
Adaptive Sample Sharing for Multi Agent Linear Bandits
ICML 2025
Bayesian Neural Scaling Law Extrapolation with Prior-Data Fitted Networks
ICML 2025
Beyond One-Hot Labels: Semantic Mixing for Model Calibration
ICML 2025
CERTAIN: Context Uncertainty-aware One-Shot Adaptation for Context-based Offline Meta Reinforcement Learning
ICML 2025
Learning Along the Arrow of Time: Hyperbolic Geometry for Backward-Compatible Representation Learning
ICML 2025
Learning Latent Graph Structures and their Uncertainty
ICML 2025
Look Twice Before You Answer: Memory-Space Visual Retracing for Hallucination Mitigation in Multimodal Large Language Models
ICML 2025
Navigating Conflicting Views: Harnessing Trust for Learning
ICML 2025
Representation Surgery in Model Merging with Probabilistic Modeling
ICML 2025
The impact of uncertainty on regularized learning in games
ICML 2025
Uncertainty and Influence aware Reward Model Refinement for Reinforcement Learning from Human Feedback
ICLR 2025
Uncertainty-Based Extensible Codebook for Discrete Federated Learning in Heterogeneous Data Silos
ICML 2025
When to retrain a machine learning model
ICML 2025
Active Statistical Inference
ICML 2024
Beyond the Norms: Detecting Prediction Errors in Regression Models
ICML 2024
Conformal Prediction for Deep Classifier via Label Ranking
ICML 2024
Distinguishing the Knowable from the Unknowable with Language Models
ICML 2024
Handling Long-Term Safety and Uncertainty in Safe Reinforcement Learning
CoRL 2024
Is In-Context Learning in Large Language Models Bayesian? A Martingale Perspective
ICML 2024
Multi-Strategy Deployment-Time Learning and Adaptation for Navigation under Uncertainty
CoRL 2024
Position: Bayesian Deep Learning is Needed in the Age of Large-Scale AI
ICML 2024
Rolling Diffusion Models
ICML 2024
Uncertainty-Aware Decision Transformer for Stochastic Driving Environments
CoRL 2024
Uncertain Graph Neural Networks for Facial Action Unit Detection
AAAI 2021