Troubling Trends in Machine Learning Scholarship

9 Jul 2018 Zachary C. Lipton Jacob Steinhardt

Collectively, machine learning (ML) researchers are engaged in the creation and dissemination of knowledge about data-driven algorithms. In a given paper, researchers might aspire to any subset of the following goals, among others: to theoretically characterize what is learnable, to obtain understanding through empirically rigorous experiments, or to build a working system that has high predictive accuracy... (read more)

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