33 citations · 48 across the 8 of their papers we have counts for
3 papers · 1 filter
Undersampling is a Minimax Optimal Robustness Intervention in Nonparametric Classification
Niladri S. Chatterji, Saminul Haque, Tatsunori Hashimoto
While a broad range of techniques have been proposed to tackle distribution shift, the simple baseline of training on an balanced dataset often achieves clo…
Is Importance Weighting Incompatible with Interpolating Classifiers?
Ke Alexander Wang, Niladri S. Chatterji, Saminul Haque +1
Importance weighting is a classic technique to handle distribution shifts. However, prior work has presented strong empirical and theoretical evidence demonstrating that importance…
Preventing Gradient Attenuation in Lipschitz Constrained Convolutional Networks
Qiyang Li, Saminul Haque, Cem Anil +3
Lipschitz constraints under L2 norm on deep neural networks are useful for provable adversarial robustness bounds, stable training, and Wasserstein distance estimation. While heuri…