If you have ever trained a Machine Learning model, you know the magic command: model.fit(X, y). You press run, your CPU fans spin up, and suddenly, the computer knows how to predict housing prices, ...
The foundational base of this approach iterates on Keller Jordan's Muon optimizer, which originally replaced AdamW's element-wise parameter updates with steepest descent under the spectral norm.
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Ax (1) Xt+l In this paper we consider gradient descent algorithms which attempt optimize the objective function by following the steepest descent direction given by the negative of the gradi ent This ...
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