most citedQuasi-Newton methods for minimizing a quadratic function subject to uncertainty

2 citations · 3 across the 2 of their papers we have counts for

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2 papers

math.OC2021★ 2 cited

Quasi-Newton methods for minimizing a quadratic function subject to uncertainty

Shen Peng, Gianpiero Canessa, David Ek +1

We investigate quasi-Newton methods for minimizing a strictly convex quadratic function which is subject to errors in the evaluation of the gradients. The methods all give identica…

cs.LG2021★ 1 cited

Chance constrained conic-segmentation support vector machine with uncertain data

Shen Peng, Gianpiero Canessa, Zhihua Allen-Zhao

Support vector machines (SVM) is one of the well known supervised classes of learning algorithms. Furthermore, the conic-segmentation SVM (CS-SVM) is a natural multiclass analogue…