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cs.AI2025
Information Templates: A New Paradigm for Intelligent Active Feature Acquisition
Hung-Tien Huang, Dzung Dinh, Junier B. Oliva
Active feature acquisition (AFA) is an instance-adaptive paradigm in which, at inference time, a policy sequentially chooses which features to acquire (at a cost) before predicting…
cs.LG2025
NOCTA: Non-Greedy Objective Cost-Tradeoff Acquisition for Longitudinal Data
Dzung Dinh, Boqi Chen, Yunni Qu +2
In many critical domains, features are not freely available at inference time: each measurement may come with a cost of time, money, and risk. Longitudinal prediction further compl…