Improving Improved Kernel PLS
Improved Kernel Partial Least Squares (IKPLS) algorithms 1 and 2 are among the fastest PLS calibration algorithms. This article focuses on two shared steps, the computation of the $\mathbf{X}$ rotations, $\mathbf{R}$, and the $\mathbf{Y}$ loadings, $\mathbf{Q}$, and accelerates both. For $\mathbf{R}$, term-by-term accumulation is replaced by a direct evaluation strategy that requires the same number of multiplications but parallelizes better on modern hardware. For $\mathbf{Q}$, I identify - to the best of my knowledge, for the first time - equivalences showing that each $\mathbf{Y}$ loading i
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Paper → model → repo connections mined from source citations (Tier-1 exact match).
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- PossiblePossibly related (embedding) · 46%Local benchmarks with a RTX 3090 - Qwen3.6 27b vs Ornith →
- PossiblePossibly related (embedding) · 46%🤗 Kernels: Major Updates →
- FuzzySimilar title/name (fuzzy) · 59%microsoft/semantic-kernel →
“Fuzzy title match (0.73): “Improving Improved Kernel PLS” ≈ “microsoft/semantic-kernel””
- LinkedLinked via arxiv author · 85%Ole-Christian Galbo Engstrøm →
“Improving Improved Kernel PLS”
