Exploring Bilevel Optimization: Applications in Machine Learning

Speaker:
Tommaso Giovannelli (Assistant Professor University of Cincinnati)

Key Highlights:

• Introduction to Bilevel Optimization:
  Understand the structure and significance of bilevel optimization problems and how they differ from traditional optimization approaches.
• Machine Learning Applications:
  Discover how bilevel optimization is applied to enhance model training, hyperparameter tuning, and feature selection in machine learning.
• Algorithms for Bilevel Problems:
  Learn about the algorithms and techniques developed by the Speaker to efficiently solve bilevel optimization problems, and how they can be applied in practice.