Navigating Complexity: Advanced Optimization Techniques For Machine Learning

This article discusses the need for advanced optimization techniques in machine learning, as traditional methods are not sufficient for navigating the complexities of modern machine learning problems. The Special Issue aims to explore innovative algorithms, theoretical insights, and real-world applications to accelerate and refine machine learning models. Topics include advanced gradient descent variants, meta-learning, Bayesian optimization, and scalability challenges.