536 citations · 723 across the 7 of their papers we have counts for
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math.OC2018★ 7 cited
Adaptive Stochastic Variance Reduction for Subsampled Newton Method with Cubic Regularization
Junyu Zhang, Lin Xiao, Shuzhong Zhang
The cubic regularized Newton method of Nesterov and Polyak has become increasingly popular for non-convex optimization because of its capability of finding an approximate local sol…
math.OC2018★ 28 cited
Accelerated Bregman Proximal Gradient Methods for Relatively Smooth Convex Optimization
Filip Hanzely, Peter Richtarik, Lin Xiao
We consider the problem of minimizing the sum of two convex functions: one is differentiable and relatively smooth with respect to a reference convex function, and the other can be…