Hi everyone. Just joined this group and am planning to write some articles about optimization. Planning to start with my favorite algorithm, Stochastic Gradient Descent. This usually is written like x' = x + ɛ f'(x). I will review the applications of SGD, intuition, history, theoretical results, and what are the open questions. Looking forward to it!
-Tom
plEASE DO! SGD is such an important algo - i would like to understand it better
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