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New Study Details Unbiased Low-Rank Approximation for Repeated Matrix-Vector Multiplication

A new paper proposes an unbiased low-rank approximation method for repeated matrix-vector multiplication, analyzing stability and optimal sampling when random low-rank matrices replace the original matrix in iterative computations.

Read the full story at arXiv stat.ML ↗

Timeline · 1 report

  1. 2026-11-03 05:00 · arXiv stat.ML
    Unbiased Low-Rank Approximation for Repeated Matrix-Vector Multiplication: Stability and Optimal Sampling

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