This seminar explores recent advances at the intersection of machine learning and optimization. We will cover key algorithms, theoretical foundations, and practical applications, including large language models, deep diffusion models and emerging approaches in modern optimization. Students will engage with current research, discuss cutting-edge techniques, and gain insights into how optimization drives modern machine learning systems.
- Trainer/in: Jannis Halbey