Beschreibung
The Machine Learning Group at Universität Hamburg is at the forefront of research in the field of efficient machine learning. Our specialized focus lies in developing cutting-edge optimization methods that enhance the training of machine learning models. Leveraging innovative techniques and algorithms, our group strives to make machine learning more efficient, scalable, and sustainable. We are dedicated to addressing the computational challenges that arise in modern machine learning, allowing for faster convergence and reduced resource consumption. Our research aims to empower both academia and industry, fostering advancements that pave the way for more accessible and resource-efficient machine learning applications. We will present some results and tools that we have developed within this area.
Keywords
machine learning
efficient algorithms
resource-efficient learning
efficient optimization methods
