Choose 200 of a Million Records to Label, Improving on Uniform Random Sampling
Company: Citadel
Role: Software Engineer
Category: Statistics & Math
Difficulty: medium
Interview Round: Technical Screen
Overview: Choose 200 of about one million unlabeled records for labeling in a single selection, where uniform random sampling is acceptable but not optimal. The question tests clarifying an undefined notion of useful data and designing a one-shot, coverage-aware selection method that improves on random sampling at this scale.
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