Structured adaptive and random spinners for fast machine learning computations

AISTATS, 2017.

Cited by: 25|Views84
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Abstract:

We consider an efficient computational framework for speeding up several machine learning algorithms with almost no loss of accuracy. The proposed framework relies on projections via structured matrices that we call Structured Spinners, which are formed as products of three structured matrix-blocks that incorporate rotations. The approach...More

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