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Proceedings of the 2017 ICML Workshop on Human Interpretability in Machine Learning (WHI 2017)., , , and . CoRR, (2017)Bucket Renormalization for Approximate Inference., , , and . ICML, volume 80 of Proceedings of Machine Learning Research, page 109-118. PMLR, (2018)Machine Learning Explainability for External Stakeholders, , , and . (2020)cite arxiv:2007.05408.Bethe Bounds and Approximating the Global Optimum., and . AISTATS, volume 31 of JMLR Workshop and Conference Proceedings, page 618-631. JMLR.org, (2013)Optimal experimental design via Bayesian optimization: active causal structure learning for Gaussian process networks., , , and . CoRR, (2019)CWY Parametrization for Scalable Learning of Orthogonal and Stiefel Matrices., , , and . CoRR, (2020)UFO-BLO: Unbiased First-Order Bilevel Optimization., , , , and . CoRR, (2020)Computing Power and the Governance of Artificial Intelligence., , , , , , , , , and 9 other author(s). CoRR, (2024)Filling gaps in trustworthy development of AI., , , , , , , , , and 2 other author(s). CoRR, (2021)The Future of Fundamental Science Led by Generative Closed-Loop Artificial Intelligence., , , , , , , , , and 12 other author(s). CoRR, (2023)