10 citations · 31 across the 12 of their papers we have counts for
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cs.LG2022
Malign Overfitting: Interpolation Can Provably Preclude Invariance
Yoav Wald, Gal Yona, Uri Shalit +1
Learned classifiers should often possess certain invariance properties meant to encourage fairness, robustness, or out-of-distribution generalization. However, multiple recent work…
cs.LG2022★ 6 cited
Nuisances via Negativa: Adjusting for Spurious Correlations via Data Augmentation
Aahlad Puli, Nitish Joshi, Yoav Wald +2
In prediction tasks, there exist features that are related to the label in the same way across different settings for that task; these are semantic features or semantics. Features…
cs.LG2022★ 2 cited
In the Eye of the Beholder: Robust Prediction with Causal User Modeling
Amir Feder, Guy Horowitz, Yoav Wald +2
Accurately predicting the relevance of items to users is crucial to the success of many social platforms. Conventional approaches train models on logged historical data; but recomm…