This Github repository contains a Jupyter Notebook that implements the stochastic gradient descent algorithm, a popular optimization algorithm used in machine learning for training various models. The ...

We are interested here in stochastic gradient descent algorithms, which are used to minimize functions with suitable smoothness properties. For a machine learning problem, we are looking for ...

We propose a stochastic gradient descent based optimization algorithm to solve the analytic continuation problem in which we extract real frequency spectra from imaginary time Quantum Monte Carlo data ...

Stochastic gradient descent (SGD), with its variations, has been the algorithm of choice to minimize the loss and train neural networks since the introduction of back-propagation (1–3).When minimizing ...

Based on stochastic gradient descent, this paper presents a fast distributed stochastic Nesterov gradient descent algorithm denoted by SFDGND, which can effectively solve the problem of image ...

Deep CNN is trained using the proposed Stochastic Gradient Descent–Whale Optimization Algorithm, which is the unification of the standard stochastic gradient descent algorithm with whale optimization ...

Action functional gradient descent algorithm for estimating escape paths in stochastic chemical reaction networks. Gagrani, ... several applications of the algorithm and verify them against ...

We have developed a new semi-stochastic gradient descent method (S2GD) and analyzed its complexity for smooth convex and strongly convex loss functions. Our methods need O ((κ/ n ) log(1/ε)) work only ...