Mathematics of Machine Learning Seminar

About this seminar

Weekly paper-reading seminar on the mathematical foundations of modern machine learning: optimization landscapes, generalization theory, and kernel methods.

Topics covered

• Gradient descent dynamics
• Generalization bounds
• Kernel methods
• Neural tangent kernels

How it was run

Tuesdays: one recent paper presented by a student. Fridays: journal-club style discussion of two short papers chosen by vote earlier in the week.