Sauptik Dhar

2 accepted papers

2020

Variable Metric Proximal Gradient Method with Diagonal Barzilai-Borwein Stepsize

Youngsuk Park, Sauptik Dhar, Stephen P. Boyd, Mohak Shah

ICASSP 2020accepted

This paper proposes an adaptive metric selection strategy called diagonal Barzilai-Borwein (DBB) stepsize for the popular Variable Metric Proximal Gradient (VM-PG) algorithm [1], [2]. The proposed approach better captures the local geometry of the problem while keeping the per-step computation cost…

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2019

Multiclass Learning from Contradictions

Sauptik Dhar, Vladimir Cherkassky, Mohak Shah

NeurIPS 2019poster

We introduce the notion of learning from contradictions, a.k.a Universum learning, for multiclass problems and propose a novel formulation for multiclass universum SVM (MU-SVM). We show that learning from contradictions (using MU-SVM) incurs lower sample complexity compared to multiclass SVM (M-SVM)…

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