In this work, we aim to characterize the statistical complexity of reali...
While ERM suffices to attain near-optimal generalization error in the
st...
We study robustness to test-time adversarial attacks in the regression
s...
We consider a seller faced with buyers which have the ability to delay t...
We study the problem of semi-supervised learning of an adversarially-rob...
Streaming algorithms are algorithms for processing large data streams, u...
We revisit the fundamental problem of prediction with expert advice, in ...
We consider a model of robust learning in an adversarial environment. Th...