Join us for an exciting seminar with Bistra Dilkina, of AI4OPT and the University of Southern California, who will explore the innovative integration of machine learning and combinatorial optimization. Dilkina will discuss recent advancements in enhancing Mixed Integer Linear Programming (MILP) solvers by incorporating machine learning-guided components, demonstrating improvements in speed and solution quality. Her work includes the successful application of contrastive loss in MILP tasks and introduces d-MIPLIB, a new benchmark for ML-guided MILP research. Don't miss this opportunity to learn how machine learning is transforming optimization techniques across various domains!

Lunch will be served – arrive early to grab a bite before the seminar starts.

Date: Wednesday, April 2, 2025
Location: Executive Boardroom (Groseclose 402)
Time: 11:30am-12:30pm