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All Models are Wrong, but Many are Useful: Learning a Variable's Importance by Studying an Entire Class of Prediction Models Simultaneously

, , and . (2018)

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MFEM: a modular finite element methods library, , , , , , , , , and 6 other author(s). (2019)cite arxiv:1911.09220Comment: 36 pages, 21 figures.Optimizing Rescoring Rules with Interpretable Representations of Long-Term Information.. CoRR, (2021)Preparation and optimization of a diverse workload for a large-scale heterogeneous system., , , , , , , , , and 69 other author(s). SC, page 32:1-32:17. ACM, (2019)All Models are Wrong, but Many are Useful: Learning a Variable's Importance by Studying an Entire Class of Prediction Models Simultaneously, , and . (2018)All Models are Wrong, but Many are Useful: Learning a Variable's Importance by Studying an Entire Class of Prediction Models Simultaneously, , and . Journal of Machine Learning Research, 20 (177): 1-81 (2019)Visually Communicating and Teaching Intuition for Influence Functions, and . (2018)cite arxiv:1810.03260Comment: This manuscript version includes 2 additional supplemental figures to further aid intuition. In total: 4 figures, 36 pages (double spaced).MFEM: A modular finite element methods library., , , , , , , , , and 7 other author(s). Comput. Math. Appl., (2021)MFEM: a modular finite element methods library., , , , , , , , , and 6 other author(s). CoRR, (2019)Gaussian Latent Dirichlet Allocation for Discrete Human State Discovery., , and . CoRR, (2022)An efficient vector finite element method for nonlinear electromagnetic modeling., , and . J. Comput. Phys., 225 (2): 1331-1346 (2007)