1 citations · 1 across the 3 of their papers we have counts for
3 papers
cs.DS2022★ 1 cited
Fast Regression for Structured Inputs
Raphael A. Meyer, Cameron Musco, Christopher Musco +2
We study the regression problem, which requires finding that minimizes for a matrix $\mathbf{A}\in\mat…
cs.LG2020
The Statistical Cost of Robust Kernel Hyperparameter Tuning
Raphael A. Meyer, Christopher Musco
This paper studies the statistical complexity of kernel hyperparameter tuning in the setting of active regression under adversarial noise. We consider the problem of finding the be…
cs.LG2019
Optimality Implies Kernel Sum Classifiers are Statistically Efficient
Raphael Arkady Meyer, Jean Honorio
We propose a novel combination of optimization tools with learning theory bounds in order to analyze the sample complexity of optimal kernel sum classifiers. This contrasts the typ…