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cs.LG2026
Gap Safe Screening Rules for Fast Training of Robust Support Vector Machines under Feature Noise
Tan-Hau Nguyen, Thu-Le Tran, Kien Trung Nguyen
Robust Support Vector Machines (R-SVMs) address feature noise by adopting a worst-case robust formulation that explicitly incorporates uncertainty sets into training. While this ro…
cs.LG2022★ 1 cited
Beyond GAP screening for Lasso by exploiting new dual cutting half-spaces with supplementary material
Thu-Le Tran, Clément Elvira, Hong-Phuong Dang +1
In this paper, we propose a novel safe screening test for Lasso. Our procedure is based on a safe region with a dome geometry and exploits a canonical representation of the set of…