We here present resolution-annealed stochastic gradient ascent (RASTA), a new approach for direct atomistic electron density determination, which utilizes our recently developed rigorous Bayesian ...

In this paper, we investigate reconfigurable intelligent surface (RIS)-assisted communication systems which involve a fixed-antenna base station (BS) and a mobile user (MU) that is equipped with fluid ...

Learn how gradient descent really works by building it step by step in Python. No libraries, no shortcuts—just pure math and code made simple.

ABSTRACT: In this paper, we consider a more general bi-level optimization problem, where the inner objective function is consisted of three convex functions, involving a smooth and two non-smooth ...

Beck, A. and Teboulle, M. (2009) Fast Gradient-Based Algorithms for Constrained Total Variation Image Denoising and Deblurring Problems. IEEE Transactions on Image Processing, 18, 2419-2434.

11.1.2 Justification of Existence The gradient estimate in Policy Gradient methods is often noisy, as we have seen in Chapter 10 from REINFORCE algorithm, because the estimate is based on the observed ...

The natural state-value-function learning method to pair with this is semi-gradient TD (0) as given in the following algorithm. Note that it is now a fully online, incremental algorithm, with states, ...

Bioinformatics Group, Department of Computer Science & Interdisciplinary Center for Bioinformatics & School for Embedded and Composite Artificial Intelligence (SECAI), Leipzig University, Härtelstraße ...

This letter proposes a quaternion projection gradient ascent (QPGA) iterative algorithm based on generalized HR calculus for computing the principal eigenvalues and its eigenvectors of quaternion ...