Dive deep into the Muon Optimizer and learn how it enhances dense linear layers using the Newton-Schulz method combined with momentum. Perfect for machine learning enthusiasts and researchers ...

We introduce a fast stepwise regression method, called the orthogonal greedy algorithm (OGA), that selects input variables to enter a p-dimensional linear regression model (with p ≫ n, the sample size ...

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This paper studies the problem of controlling linear dynamical systems subject to point-wise-in-time constraints. We present an algorithm similar to online gradient descent, that can handle ...