3 citations · 3 across the 3 of their papers we have counts for
3 papers
cs.LG2026
Stochastic gradient descent with initial regularization
Nabil Kahalé
We analyze a variant of stochastic gradient descent with initial regularization (SGDIR) and derive dimension-free upper bounds on its expected excess risk for the squared loss. In…
stat.ML2024
Unbiased least squares regression via averaged stochastic gradient descent
Nabil Kahalé
We consider an on-line least squares regression problem with optimal solution and Hessian matrix H, and study a time-average stochastic gradient descent estimator of . F…
stat.CO2021★ 3 cited
On the effective dimension and multilevel Monte Carlo
Nabil Kahalé
I consider the problem of integrating a function over the -dimensional unit cube. I describe a multilevel Monte Carlo method that estimates the integral with variance at mos…