Unobservable model errors

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学習するスキル

Model financial impact, Metalearning, A/B Testing, Benefit curve analysis

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Unobservable model errors, metalearning

Imagine that our historical data is biased, and we cannot obtain any other data. During this week, we will discuss how to restore unobservable events by using such methods as reject inference and metalearning.

講師

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    Alexey A. Masyutin

    Project Head and Programme Academic Supervisor

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    Elena S. Kozhina

    Executive Director of Corporate Models Validation

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    Viktor I. Skripiuk

    Head of Project and AI Valuation

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