Active learning framework that combines D-optimality with maximin space-filling via Gaussian process surrogates to recover governing differential equations with fewer experiments than standard designs.
(2016), Best subset selection via a modern optimization lens, The annals of statistics, 44, 813--852
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Gaussian Process Assisted Active Learning of Physical Laws
Active learning framework that combines D-optimality with maximin space-filling via Gaussian process surrogates to recover governing differential equations with fewer experiments than standard designs.