Ridge Regression and Provable Deterministic Ridge Leverage Score Sampling
–Neural Information Processing Systems
While ridge regression provides shrinkage for the regression coefficients, manyofthecoefficients remain smallbutnon-zero. Performing ridgeregression with the matrix sketch returned by our algorithm and a particular regularization parameter forces coefficients to zero and has a provable(1+) bound on the statisticalrisk.
Neural Information Processing Systems
Feb-15-2026, 00:01:12 GMT
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