2 papers
cs.LG2026
Learning-To-Measure: In-Context Active Feature Acquisition
Yuta Kobayashi, Zilin Jing, Jiayu Yao +2
Active feature acquisition (AFA) is a sequential decision-making problem where the goal is to improve model performance for test instances by adaptively selecting which features to…
cs.LG2025
A Planning Framework for Adaptive Labeling
Daksh Mittal, Yuanzhe Ma, Shalmali Joshi +1
Ground truth labels/outcomes are critical for advancing scientific and engineering applications, e.g., evaluating the treatment effect of an intervention or performance of a predic…