information gain
The reduction in uncertainty about a random variable given some information, commonly used in decision trees and active learning to assess the effectiveness of a feature in improving predictions.
- ALINE: Joint Amortization for Bayesian Inference and Active Data Acquisition
- Bridging the Gap Between Cross-Domain Theory and Practical Application: A Case Study on Molecular Dissolution
- Data Mixture Optimization: A Multi-fidelity Multi-scale Bayesian Framework
- Evolution of Information in Interactive Decision Making: A Case Study for Multi-Armed Bandits
- Feedback-Aware MCTS for Goal-Oriented Information Seeking
- IGD: Token Decisiveness Modeling via Information Gain in LLMs for Personalized Recommendation
- Improved Regret Bounds for Gaussian Process Upper Confidence Bound in Bayesian Optimization
- Improved Regret Bounds for Gaussian Process Upper Confidence Bound in Bayesian Optimization
- Towards Building Model/Prompt-Transferable Attackers against Large Vision-Language Models
- Wonder Wins Ways: Curiosity-Driven Exploration through Multi-Agent Contextual Calibration