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The Foundation Model Transparency Index., , , , , , , and . CoRR, (2023)Corruption-tolerant bandit learning., , and . Mach. Learn., 108 (4): 687-715 (2019)The Worst of Both Worlds: A Comparative Analysis of Errors in Learning from Data in Psychology and Machine Learning., , , , and . AIES, page 335-348. ACM, (2022)Position: On the Societal Impact of Open Foundation Models., , , , , , , , , and 15 other author(s). ICML, OpenReview.net, (2024)A Safe Harbor for AI Evaluation and Red Teaming., , , , , , , , , and 13 other author(s). CoRR, (2024)Leakage and the Reproducibility Crisis in ML-based Science., and . CoRR, (2022)Against Predictive Optimization: On the Legitimacy of Decision-Making Algorithms that Optimize Predictive Accuracy., , , and . FAccT, page 626. ACM, (2023)Towards a Framework for Openness in Foundation Models: Proceedings from the Columbia Convening on Openness in Artificial Intelligence., , , , , , , , , and 6 other author(s). CoRR, (2024)An Algorithmic Framework to Control Bias in Bandit-based Personalization., , , and . CoRR, (2018)Controlling Polarization in Personalization: An Algorithmic Framework., , , and . FAT, page 160-169. ACM, (2019)