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Alexander Luke Ian Norcliffe

2 accepted papers

2025

Stochastic Encodings for Active Feature Acquisition

ICML 2025poster

Active Feature Acquisition is an instance-wise, sequential decision making problem. The aim is to dynamically select which feature to measure based on current observations, independently for each test instance. Common approaches either use Reinforcement Learning, which experiences training difficult…

Cited by 0SourcePDFScholar
2022

Composite Feature Selection Using Deep Ensembles

NeurIPS 2022accept

In many real world problems, features do not act alone but in combination with each other. For example, in genomics, diseases might not be caused by any single mutation but require the presence of multiple mutations. Prior work on feature selection either seeks to identify individual features or can…

Cited by 13SourcePDFScholar