AWNN assigns weights to neighboring rows by solving a convex bias-variance objective and claims the same row-MSE rates as optimally tuned unweighted nearest neighbors.
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Adaptively-weighted Nearest Neighbors for Matrix Completion
AWNN assigns weights to neighboring rows by solving a convex bias-variance objective and claims the same row-MSE rates as optimally tuned unweighted nearest neighbors.