62 citations · 315 across the 28 of their papers we have counts for
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cs.LG2018★ 30 cited
But How Does It Work in Theory? Linear SVM with Random Features
Yitong Sun, Anna Gilbert, Ambuj Tewari
We prove that, under low noise assumptions, the support vector machine with random features (RFSVM) can achieve the learning rate faster than on a training…
cs.LG2018★ 6 cited
Unsupervised Metric Learning in Presence of Missing Data
Anna C. Gilbert, Rishi Sonthalia
For many machine learning tasks, the input data lie on a low-dimensional manifold embedded in a high dimensional space and, because of this high-dimensional structure, most algorit…