Published papers at TMLRJun 13, 2023

Undersampling is a Minimax Optimal Robustness Intervention in Nonparametric Classification

Niladri S. Chatterji, Saminul Haque, Tatsunori Hashimoto

Action editor: Sivan Sabato.

https://openreview.net/forum?id=r6oHDYOZ6p

#undersampling #undersampled #classification

Undersampling is a Minimax Optimal Robustness Intervention in...

While a broad range of techniques have been proposed to tackle distribution shift, the simple baseline of training on an undersampled balanced dataset often achieves close to...

OpenReview
New Submissions to TMLRApr 11, 2023

Undersampling is a Minimax Optimal Robustness Intervention in Nonparametric Classification

https://openreview.net/forum?id=r6oHDYOZ6p

#undersampling #undersampled #classification

Undersampling is a Minimax Optimal Robustness Intervention in...

While a broad range of techniques have been proposed to tackle distribution shift, the simple baseline of training on an undersampled balanced dataset often achieves close to...

OpenReview