Fusing Machine Learning and Optimization - IPAM at UCLA
Explore the groundbreaking fusion of machine learning and optimization in this 46-minute conference talk by Pascal Van Hentenryck from Georgia Institute of Technology. Delve into research avenues such as optimization proxies and end-to-end learning, and discover how these technologies can revolutionize decision-making processes. Examine case studies in energy systems, mobility, and supply chains that demonstrate the practical applications of this fusion. Learn about real-time risk assessment in energy systems, quick near-optimal solutions in supply chains, and large-scale model-predictive control for mobility systems. Gain insights into the potential breakthroughs that arise when combining machine learning and optimization techniques, surpassing the capabilities of each technology used independently.