51 citations · 228 across the 23 of their papers we have counts for
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stat.ML2020★ 4 cited
On the Universality of the Double Descent Peak in Ridgeless Regression
David Holzmüller
We prove a non-asymptotic distribution-independent lower bound for the expected mean squared generalization error caused by label noise in ridgeless linear regression. Our lower bo…
stat.ML2020★ 3 cited
Training Two-Layer ReLU Networks with Gradient Descent is Inconsistent
David Holzmüller, Ingo Steinwart
We prove that two-layer (Leaky)ReLU networks initialized by e.g. the widely used method proposed by He et al. (2015) and trained using gradient descent on a least-squares loss are…