Reconciling Universal and Uniform Learning with $Q$-Aggregation
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arXiv:2609.05041v1 Announce Type: cross Abstract: We study regression under bounded responses in terms of excess mean squared error. When the comparator class is finite, this setting is known as model selection aggregation, and achieving minimax excess risk requires improper learning algorithms. Co…
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- 2026-09-07 04:00 · arXiv stat.ML
Reconciling Universal and Uniform Learning with $Q$-Aggregation