#reinforcement learning
Oct 2026
Trajectory-Constrained Feature Transformation Optimization Framework for Stable Tabular Data Reprogramming
Tabular data reprogramming is a cornerstone of Data-Centric AI, which seeks to mathematically reconfigure raw features into more expressive and model-efficient representations. This process has traditionally relied on extensive manual engineering. Further, recent automated feature transformation approaches treat each t...
Xiaohan Huang, Dongjie Wang, Zhiyuan Ning et al.
· ACM Transactions on Knowledg... · 0 citations