ML augmented Branch and Bound for MILP
45:44
Machine Learning inside MIP solvers
31:03
Optimal decision making problems with trained surrogate models embedded
27:33
Combinatorial Optimization at Google tools, solvers, and applications
22:15
Amazon: optimizing the journey of a package.
1:12:02
Graph Transformers: What every data scientist should know, from Stanford, NVIDIA, and Kumo
23:41
Mastering the Optimization Pipeline: A Consultant’s Perspective
39:42
Periodic timetable optimization in public transport
2:57