Abstract: The gradient descent bit-flipping with momentum (GDBF-w/M) and probabilistic GDBF-w/M (PGDBF-w/M) algorithms significantly improve the decoding performance of the bit-flipping (BF) algorithm ...

Abstract: Distributed gradient descent algorithms have come to the fore in modern machine learning, especially in parallelizing the handling of large datasets that are distributed across several ...

Stochastic gradient descent (SGD) provides a scalable way to compute parameter estimates in applications involving large-scale data or streaming data. As an alternative version, averaged implicit SGD ...

We’re asking unanswered questions for her potential administration. By David Leonhardt Kamala Harris has largely avoided answering questions since her campaign began: She hasn’t participated in a town ...

You've finally identified a remote job that fits you perfectly, applied for it, and been successful in securing an interview. You've built rapport with the hiring manager. The interview questions may ...