Sub-sampled newton methods i: Globally convergent algorithms. arXiv preprint arXiv:1601.04737, 2016a.Farbod Roosta-Khorasani and Michael W Mahoney. Sub-sampled Newton methods I: globally convergent algorithms. arXiv preprint arXiv:1601.04737, 2016....
Mahoney. Sub-sampled Newton methods I: Globally convergent algorithms. arXiv preprint arXiv:1601.04737, 2016.Farbod Roosta-Khorasani and Michael W Mahoney. Sub-sampled newton methods i: globally convergent algorithms. arXiv preprint arXiv:1601.04737, 2016a....
sub-sampled Newton methodvariance reductionlinear convergenceStochastic optimization on large-scale machine learning problems has been developed dramatically since stochastic gradient methods with variance reduction technique were introduced. Several stochastic second-order methods, which approximate curvature ...
sub-sampled Newton methodvariance reductionlinear convergenceStochastic optimization on large-scale machine learning problems has been developed dramatically since stochastic gradient methods with variance reduction technique were introduced. Several stochastic second-order methods, which approximate curvature ...