Q: In this task, you are given a part of an article. Your task is to generate headline (title) for this text. Preferred headlines are under fifteen words.
With a weighting scheme proportional to t, a traditional stochastic gradient descent (SGD) algorithm achieves a high probability convergence rate of O(/T ) for strongly convex functions, instead of O( ln(T )/T ). We also prove that an accelerated SGD algorithm also achieves a rate of O(/T ).
A:
Stochastic gradient descent algorithms for strongly convex functions at O(1/T ) convergence rates