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Circulant permutations unlock provably lower variance and storage for MinHash beyond CMinHash, with a new analytical tool that accurately predicts Minner estimator performance.
Achieving a variance reduction in TensorSketch without sacrificing input-sparsity efficiency could revolutionize high-dimensional data processing.
