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Unbiased dataset pruning can be framed as a linear program, enabling efficient, label-free subset selection that outperforms geometric methods at small budgets.
Adaptive representations in functional gradient descent can achieve global convergence guarantees while significantly enhancing optimization efficiency and accuracy.
