284 citations · 405 across the 19 of their papers we have counts for
Showing 2016Show all
2 papers · 1 filter
cs.LG2016
Adaptive Newton Method for Empirical Risk Minimization to Statistical Accuracy
Aryan Mokhtari, Alejandro Ribeiro
We consider empirical risk minimization for large-scale datasets. We introduce Ada Newton as an adaptive algorithm that uses Newton's method with adaptive sample sizes. The main id…
cs.LG2016
DynaNewton - Accelerating Newton's Method for Machine Learning
Hadi Daneshmand, Aurelien Lucchi, Thomas Hofmann
Newton's method is a fundamental technique in optimization with quadratic convergence within a neighborhood around the optimum. However reaching this neighborhood is often slow and…