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.

Pascal Van Hentenryck - Fusing Machine Learning and Optimization - IPAM at UCLA