A Universal Law of Robustness via Isoperimetry with Sebastien Bubeck - #551
Analysis
Key Takeaways
- •The interview focuses on Sebastien Bubeck's research on robustness in machine learning.
- •The discussion covers convex optimization and its applications.
- •The paper explores the relationship between overparameterization and data interpolation.
“We explore the problem that convex optimization is trying to solve, the application of convex optimization to multi-armed bandit problems, metrical task systems and solving the K-server problem.”