The Cohere For AI open science community’s ML Theory Learning Group was pleased to welcome Yaroslav Bulatov to present Generating functions approach to gradient descent analysis (like in https://arxiv.org/abs/2206.11124).
Classical optimization theorems characterise behaviour in the worst case, while generating functions can tell you how things behave in the average case.
https://machine-learning-etc.ghost.io/
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