Deep Learning with Yacine on MSN

Adadelta optimizer explained – Python tutorial for beginners & pros

Learn how to implement the Adadelta optimization algorithm from scratch in Python. This tutorial explains the math behind ...
Deep Learning with Yacine on MSN

Nadam optimizer explained: Python tutorial for beginners & pros

Learn how to implement the Nadam optimizer from scratch in Python. This tutorial walks you through the math behind Nadam, ...
IEEE

Momentum-Based Iterative Hard Thresholding Algorithm for Sparse Signal Recovery

Abstract: The iterative hard thresholding (IHT) algorithm is widely used for recovering sparse signals in compressed sensing. Despite the development of numerous variants of this effective algorithm, ...
IEEE

Non-Asymptotic Guarantees for Reliable Identification of Granger Causality via the LASSO

Abstract: Granger causality is among the widely used data-driven approaches for causal analysis of time series data with applications in various areas including economics, molecular biology, and ...