About Slavomir Hanzely Slavomir Hanzely Ph.D. Student, Applied Mathematics and Computational Science machine learning stochastic algorithm Slavomir Hanzely is an MS/Ph.D. student in the Applied Mathematics and Computational Science Program under the supervision of Professor Peter Richtarik at the Visual Computing Center (VCC) at King Abdullah University of Science and Technology (KAUST). Education and Early Career Slavomir earned his Bachelor's Degree in Informatics with a background in both Mathematics and Computer Science from the Faculty of Mathematics, Physics and Informatics University (FMPH UK), Slovakia in 2019. Research Interest He is interested in Machine Learning, Federated Learning, and Stochastic Algorithms. Education Events Presented Events Nov 5 - Nov 11, 2023 Adaptive Optimization Algorithms for Machine Learning Slavomir Hanzely, Ph.D. Student, Applied Mathematics and Computational Science Nov 7, 10:00 - 11:00 B1 L4 R4214 artificial intelligence machine learning Machine learning assumes a pivotal role in our data-driven world. The increasing scale of models and datasets necessitates quick and reliable algorithms for model training. This dissertation investigates adaptivity in machine learning optimizers.
Adaptive Optimization Algorithms for Machine Learning Slavomir Hanzely, Ph.D. Student, Applied Mathematics and Computational Science Nov 7, 10:00 - 11:00 B1 L4 R4214 artificial intelligence machine learning Machine learning assumes a pivotal role in our data-driven world. The increasing scale of models and datasets necessitates quick and reliable algorithms for model training. This dissertation investigates adaptivity in machine learning optimizers.
Related Sites Center of Excellence for Generative AI (GenAI) Applied Mathematics and Computational Science (AMCS) Optimization and Machine Learning (OML) Related Content Events 1 Related Links Slavomir Hanzely's Personal Webpage
