164 citations · 430 across the 25 of their papers we have counts for
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cs.AI2020
Fairness in the Eyes of the Data: Certifying Machine-Learning Models
Shahar Segal, Yossi Adi, Benny Pinkas +3
We present a framework that allows to certify the fairness degree of a model based on an interactive and privacy-preserving test. The framework verifies any trained model, regardle…
cs.AI2011
Explicit Approximations of the Gaussian Kernel
Andrew Cotter, Joseph Keshet, Nathan Srebro
We investigate training and using Gaussian kernel SVMs by approximating the kernel with an explicit finite- dimensional polynomial feature representation based on the Taylor expans…