1 citations · 1 across the 3 of their papers we have counts for
3 papers
math.OC2022
A Stochastic Variance Reduced Gradient using Barzilai-Borwein Techniques as Second Order Information
Hardik Tankaria, Nobuo Yamashita
In this paper, we consider to improve the stochastic variance reduce gradient (SVRG) method via incorporating the curvature information of the objective function. We propose to red…
math.OC2021★ 1 cited
Nys-Newton: Nyström-Approximated Curvature for Stochastic Optimization
Dinesh Singh, Hardik Tankaria, Makoto Yamada
Second-order optimization methods are among the most widely used optimization approaches for convex optimization problems, and have recently been used to optimize non-convex optimi…
math.OC2021
A Regularized Limited Memory BFGS method for Large-Scale Unconstrained Optimization and its Efficient Implementations
Hardik Tankaria, Shinji Sugimoto, Nobuo Yamashita
The limited memory BFGS (L-BFGS) method is one of the popular methods for solving large-scale unconstrained optimization. Since the standard L-BFGS method uses a line search to gua…