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Showing papers from University of British Columbia + Amii Show all papers

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Bet Imaginatively, not Historically in Independent-Data Sequential Testing

Nathaniel Xu, Feng Liu, Danica J. Sutherland

Sydney Poster Session 4, Wed, Dec 9, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026

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Understanding Generalization Requires Universal Induction

Classical statistics cannot justify AI inductive biases, so universal induction relativized to preexisting information formally defines the limits of learnable prediction.

Aram Ebtekar, Marcus Hutter, Danica J. Sutherland

Sydney Poster Session 5, Thu, Dec 10, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026

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AI panel: 6 of 20 reviewers recommend it
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