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Machine learning algorithms have become increasingly common and have affect many aspects of our life. However, because … the objective of most of the standard, off-the-shelf machine learning algorithms is to maximize the prediction performance … academic researchers and practitioners to develop machine learning algorithms that are fair. Even then, most such algorithms …
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In dynamic promotion contests, where performance measurement is noisy and ordinal, selection can be improved by biasing later stages in favor of early leaders. Even in the worst-case scenario, where noise swamps ability differences in determining relative performance, optimal bias is i) strictly...
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the nature of the task at the second date further shows that learning is unencumbered by a change in environment. Our …
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