grant
CAREER: Distributional Approximation for Sharp Finite Sample Bounds with Applications to Dependent Data and Complex Estimators
Organization Harvard UniversityLocation CAMBRIDGE, United StatesPosted 1 May 2025Deadline 30 Jun 2030
NSFUS FederalResearch GrantScience FoundationMA
Description preview
AI and machine learning algorithms are transforming numerous scientific fields, with some of the most promising approaches relying on mathematical tools called "finite sample probability bounds." These bounds are crucial, for example, in reinforcement learning, which underpins the success of systems like AlphaGo. Additionally, they play a key role…
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