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Experimental Design Using Interlacing Polynomials (2410.11390v1)

Published 15 Oct 2024 in cs.DS, cs.LG, stat.CO, and stat.ML

Abstract: We present a unified deterministic approach for experimental design problems using the method of interlacing polynomials. Our framework recovers the best-known approximation guarantees for the well-studied D/A/E-design problems with simple analysis. Furthermore, we obtain improved non-trivial approximation guarantee for E-design in the challenging small budget regime. Additionally, our approach provides an optimal approximation guarantee for a generalized ratio objective that generalizes both D-design and A-design.

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