Machine Learning Research Blog

Revisiting scaling laws via the z-transform

Unraveling spectral properties of kernel matrices – II

My book is (at last) out!

Scaling laws of optimization

Unraveling spectral properties of kernel matrices – I

Revisiting the classics: Jensen’s inequality

Non-convex quadratic optimization problems

Discrete, continuous and continuized accelerations

Sums-of-squares for dummies: a view from the Fourier domain

Rethinking SGD’s noise – II: Implicit Bias