We study the problem of how to allocate m identical items among n > m agents, assuming each agent desires exactly one item and has a private value for consuming the item. We as...
Geoffroy de Clippel, Victor Naroditskiy, Amy R. Gr...
Even though passwords are the most convenient means of authentication, they bring along themselves the threat of dictionary attacks. Dictionary attacks may be of two kinds: online...
We study online learning when individual instances are corrupted by adversarially chosen random noise. We assume the noise distribution is unknown, and may change over time with n...
This paper demonstrates the advantages of using on-line arithmetic for traditional and advanced detection algorithms for communication systems. Detection is one of the core comput...
In this paper, we investigate a new machine learning framework called Online Transfer Learning (OTL) that aims to transfer knowledge from some source domain to an online learning ...