296 citations · 530 across the 29 of their papers we have counts for
Showing 2020Show all
2 papers · 1 filter
cs.LG2020★ 6 cited
Learn to Expect the Unexpected: Probably Approximately Correct Domain Generalization
Vikas K. Garg, Adam Kalai, Katrina Ligett +1
Domain generalization is the problem of machine learning when the training data and the test data come from different data domains. We present a simple theoretical model of learnin…
cs.LG2020★ 3 cited
Gaming Helps! Learning from Strategic Interactions in Natural Dynamics
Yahav Bechavod, Katrina Ligett, Zhiwei Steven Wu +1
We consider an online regression setting in which individuals adapt to the regression model: arriving individuals are aware of the current model, and invest strategically in modify…