240 citations · 329 across the 12 of their papers we have counts for
4 papers · 1 filter
Representation via Representations: Domain Generalization via Adversarially Learned Invariant Representations
Zhun Deng, Frances Ding, Cynthia Dwork +4
We investigate the power of censoring techniques, first developed for learning {\em fair representations}, to address domain generalization. We examine {\em adversarial} censoring…
Abstracting Fairness: Oracles, Metrics, and Interpretability
Cynthia Dwork, Christina Ilvento, Guy N. Rothblum +1
It is well understood that classification algorithms, for example, for deciding on loan applications, cannot be evaluated for fairness without taking context into account. We exami…
A Precise High-Dimensional Asymptotic Theory for Boosting and Minimum--Norm Interpolated Classifiers
Tengyuan Liang, Pragya Sur
This paper establishes a precise high-dimensional asymptotic theory for boosting on separable data, taking statistical and computational perspectives. We consider a high-dimensiona…
The Asymptotic Distribution of the MLE in High-dimensional Logistic Models: Arbitrary Covariance
Qian Zhao, Pragya Sur, Emmanuel J. Candès
We study the distribution of the maximum likelihood estimate (MLE) in high-dimensional logistic models, extending the recent results from Sur (2019) to the case where the Gaussian…