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cs.LG2023
Agnostic Multi-Robust Learning Using ERM
Saba Ahmadi, Avrim Blum, Omar Montasser +1
A fundamental problem in robust learning is asymmetry: a learner needs to correctly classify every one of exponentially-many perturbations that an adversary might make to a test-ti…
cs.LG2023
Fundamental Bounds on Online Strategic Classification
Saba Ahmadi, Avrim Blum, Kunhe Yang
We study the problem of online binary classification where strategic agents can manipulate their observable features in predefined ways, modeled by a manipulation graph, in order t…