Introduces Δ-VFE pivoted Cholesky, a pivot rule maximizing the one-step gain in a VFE functional for kernel matrices via closed-form decomposition and batch sampling, yielding improved GP objective values and accuracy at low ranks.
and Jordan, Michael I
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2026 1verdicts
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Variational Free Energy Pivot Selection for Pivoted Cholesky
Introduces Δ-VFE pivoted Cholesky, a pivot rule maximizing the one-step gain in a VFE functional for kernel matrices via closed-form decomposition and batch sampling, yielding improved GP objective values and accuracy at low ranks.