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[D] Are there any theoretical connections between dropout regularization and ensemble learning?

I’ve anecdotally seen the connection between dropout and ensemble learning (i.e. dropout essentially trains a subnetwork so over the course of training it trains like an ensemble) mentioned in several places; however, I couldn’t find any theoretical references. Are there any known theoretical results that make the connection between ensemble learning and dropout more concrete?

submitted by /u/r2m2
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Toronto AI is a social and collaborative hub to unite AI innovators of Toronto and surrounding areas. We explore AI technologies in digital art and music, healthcare, marketing, fintech, vr, robotics and more. Toronto AI was founded by Dave MacDonald and Patrick O'Mara.