I suspect that peer review *actually causes* rather than mitigates many of the “troubling trends” recently identified by @zacharylipton and Jacob Steinhardt: https://arxiv.org/abs/1807.03341
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Math equations are meant to aid formal problem definitions but are sometimes abused with irrelevant proofs and corollaries ending up confusing their readers. Interestingly such papers may still go on to get high reviewer ratings due to such ‘meaningless mathiness’
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I have to wonder if this is ML-specific. I’m more familiar with publishing in molecular biology. The things you object to still occur, but I’d say they’re mostly warranted. Having an explanation, aka “a theory”, gives something to disprove.
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peer review kind of like self serving RL, that happened in history way too often
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