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Noisy Interpolation Learning with Shallow Univariate ReLU Networks
We show overfitting is tempered (with high probability) when measured with respect to the $L_1$ loss, but also show that the situation is more complex than suggested by Mallinar et.
Community Detection in the Hypergraph SBM: Exact Recovery Given the Similarity Matrix
In this paper, we consider community detection in hypergraphs drawn from the $hypergraph$ $stochastic$ $block$ $model$ (HSBM), with a focus on exact community recovery.
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