Prompts for Open Problems
Read OriginalThis article is a live blog from a graduate machine learning class final lecture. The author, Ben Recht, outlines specific open research problems that intrigued him while teaching. Key topics include a 'design-based' perspective on machine learning, contrasting it with traditional statistical inference, and the need for a theory to explain the empirical success of large models in competitive testing benchmarks.
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