93 citations · 267 across the 10 of their papers we have counts for
3 papers · 1 filter
Retiring Adult: New Datasets for Fair Machine Learning
Frances Ding, Moritz Hardt, John Miller +1
Although the fairness community has recognized the importance of data, researchers in the area primarily rely on UCI Adult when it comes to tabular data. Derived from a 1994 US Cen…
Accuracy on the Line: On the Strong Correlation Between Out-of-Distribution and In-Distribution Generalization
John Miller, Rohan Taori, Aditi Raghunathan +6
For machine learning systems to be reliable, we must understand their performance in unseen, out-of-distribution environments. In this paper, we empirically show that out-of-distri…
Outside the Echo Chamber: Optimizing the Performative Risk
John Miller, Juan C. Perdomo, Tijana Zrnic
In performative prediction, predictions guide decision-making and hence can influence the distribution of future data. To date, work on performative prediction has focused on findi…