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stat.ML2025
A general technique for approximating high-dimensional empirical kernel matrices
Chiraag Kaushik, Justin Romberg, Vidya Muthukumar
We present simple, user-friendly bounds for the expected operator norm of a random kernel matrix under general conditions on the kernel function . Our approach uses…
stat.ML2024
Precise asymptotics of reweighted least-squares algorithms for linear diagonal networks
Chiraag Kaushik, Justin Romberg, Vidya Muthukumar
The classical iteratively reweighted least-squares (IRLS) algorithm aims to recover an unknown signal from linear measurements by performing a sequence of weighted least squares pr…