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stat.ML2019
Adversarial Robustness through Local Linearization
Chongli Qin, James Martens, Sven Gowal +6
Adversarial training is an effective methodology for training deep neural networks that are robust against adversarial, norm-bounded perturbations. However, the computational cost…
stat.ML2019
Fast Convergence of Natural Gradient Descent for Overparameterized Neural Networks
Guodong Zhang, James Martens, Roger Grosse
Natural gradient descent has proven effective at mitigating the effects of pathological curvature in neural network optimization, but little is known theoretically about its conver…