I use whatever appropriate to solve data problems in context. Re Tom’s good point about stability in ML, indeed my 2013 stability paper referenced stability papers in ML and made connections to limit theorems like CLT as stability results, among other things. ]]>

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The article spends a fair amount of time talking about stability. The ML community knows a lot about stability, and there are many researchers applying stability ideas to improve machine learning algorithms. See, e.g., Hochreiter, S., & Schmidhuber, J. (1995). Simplifying Neural Nets By Discovering Flat Minima. In Advances in Neural Information Processing Systems (NIPS 1995) (pp. 529–536).

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