A tensor-based framework selects structured subsets of experimental design variables by applying column subset selection to mode unfoldings of the design matrix.
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Structured Column Subset Selection for Bayesian Optimal Experimental Design
A tensor-based framework selects structured subsets of experimental design variables by applying column subset selection to mode unfoldings of the design matrix.