Reviews: Adaptive Newton Method for Empirical Risk Minimization to Statistical Accuracy
–Neural Information Processing Systems
The paper contains a novel and interesting idea, and is well written. I think it should be accepted. This is one of a very few papers which attempt to combine optimization and statistical considerations. Most papers suggesting algorithms for solving the ERM problem simply focus on solving the deterministic ERM problem, and ignore the fact that ERM objective is an approximation to the true loss which arises as an expectation of the loss over an unknown sample distribution; and hence is subject to an approximation error. This is of course known in the literature, but it is notoriously difficult to address both the optimization aspect and the approximation aspect in a meaningful way in a single work.
Neural Information Processing Systems
Jan-20-2025, 16:46:14 GMT