Search Results for author: Kevin Luo

Found 1 papers, 0 papers with code

No Free Prune: Information-Theoretic Barriers to Pruning at Initialization

no code implementations2 Feb 2024 Tanishq Kumar, Kevin Luo, Mark Sellke

We put forward a theoretical explanation for this, based on the model's effective parameter count, $p_\text{eff}$, given by the sum of the number of non-zero weights in the final network and the mutual information between the sparsity mask and the data.

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