most citedUnleashing the Power of Randomization in Auditing Differentially Private ML

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math.OC2023

Modified Gauss-Newton Algorithms under Noise

Krishna Pillutla, Vincent Roulet, Sham Kakade +1

Gauss-Newton methods and their stochastic version have been widely used in machine learning and signal processing. Their nonsmooth counterparts, modified Gauss-Newton or prox-linea…