Author

Tobias Wegel

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Preprint Sep 2026

Reconciling Universal and Uniform Learning with $Q$-Aggregation

This work studies regression under bounded responses in terms of excess mean squared error and proves several additional structural results about universal rates in learning with squared loss about minimax and universal exponential rates.

M. Høgsgaard, Patrick Rebeschini, Tobias Wegel · 0 citations

Preprint Jul 2026

Aggregation with Exponential Weights is Optimal in Expectation

The aggregation with exponential weights (AEW) estimator is not fully understood in the basic setting of model selection aggregation with squared loss. In particular, whether it is minimax-rate optimal in expectation for large enough fixed temperatures and under random design has been an open problem since its introduc...

M. Hogsgaard, Patrick Rebeschini, Tobias Wegel · 0 citations