BUP-TR completes underdetermined quadratic models via Bayesian projection in the prior precision norm, yielding fully linear hard-MAP models under stated conditions and attaining global first-order convergence with O(ε^{-2}) complexity.
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BUP-TR: Bayesian Underdetermined Projection Trust-Region Methods for Derivative-Free Optimization
BUP-TR completes underdetermined quadratic models via Bayesian projection in the prior precision norm, yielding fully linear hard-MAP models under stated conditions and attaining global first-order convergence with O(ε^{-2}) complexity.