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robustness

Strachey Lectures
Captioned

Privacy, Verification, Robustness: A Cryptographer's perspective on ML

Strachey Lecture: Privacy, Verification, Robustness: A Cryptographer's perspective on ML
Oxford Poverty and Human Development Initiative

Robust pro-poorest poverty reduction with counting measures: the anonymous case

The talk explores conditions under which a poverty reduction experience is robustly more “pro-poor” than another one, in the context of counting measures of multidimensional poverty

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