We analyze the type of learned optimization that occurs when a learned model
(such as a neural network) is itself an optimizer - a situation we refer to as
mesa-optimization, a neologism we introduce in this paper. We believe that the
possibility of mesa-... (more…)
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This is a presentation aimed toward an audience of people with roles where they might be making decisions about using machine learning but who do not have th... (more…)
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Machine-Learning-Links-And-Lessons-Learned - List of all the lessons learned, best practices, and links from my time studying machine learning (WIP)... (more…)
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Instead of asking “How do we get 100% accuracy?”, the right question is “How do we maximize ROI?”... (more…)
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