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Sketched Gaussian Model Linear Discriminant Analysis via the Randomized Kaczmarz Method
We present convergence guarantees for the sketched predictions on new data within a fixed number of iterations.
A Projector-Based Approach to Quantifying Total and Excess Uncertainties for Sketched Linear Regression
To answer this question, we present a projector-based approach to sketched linear regression that is exact and that requires minimal assumptions on the sketching matrix.
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