Abstract: The framework of integral quadratic constraints is used to perform an analysis of gradient descent with varying step sizes. Two performance metrics are considered: convergence rate and noise ...

Abstract: Gradient Descent, an effective way to search for the local minimum of a function, can minimize training and validation loss of neural architectures and also be incited in an appropriate ...

This is read by an automated voice. Please report any issues or inconsistencies here. On a nippy Monday night at the Zebulon in Frogtown, a man wearing a Jason Voorhees T-shirt steps onto a ...