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Found 2 papers, 1 papers with code
Faithful and Efficient Explanations for Neural Networks via Neural Tangent Kernel Surrogate Models
A second trend has been to utilize kernel functions in various explain-by-example or data attribution tasks.
Near-optimal Differentially Private Principal Components
In this paper we investigate the theory and empirical performance of differentially private approximations to PCA and propose a new method which explicitly optimizes the utility of the output.
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