A complex-to-real TensorSketch is claimed to reduce polynomial-kernel sketch variance growth to 2^p/D, but the proof's expansion of the squared modulus of the complex inner product omits conjugation.
SIAM Journal on Matrix Analysis and Applications , volume=
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Improving TensorSketch Using Complex Random Variables
A complex-to-real TensorSketch is claimed to reduce polynomial-kernel sketch variance growth to 2^p/D, but the proof's expansion of the squared modulus of the complex inner product omits conjugation.