2 papers
cs.AI2024
Analysis on Riemann Hypothesis with Cross Entropy Optimization and Reasoning
Kevin Li, Fulu Li
In this paper, we present a novel framework for the analysis of Riemann Hypothesis [27], which is composed of three key components: a) probabilistic modeling with cross entropy opt…
cs.LG2024
Cross-Entropy Optimization for Hyperparameter Optimization in Stochastic Gradient-based Approaches to Train Deep Neural Networks
Kevin Li, Fulu Li
In this paper, we present a cross-entropy optimization method for hyperparameter optimization in stochastic gradient-based approaches to train deep neural networks. The value of a…