A semi-supervised multitask learning (MTL) framework is presented, in which M parameterized semi-supervised classifiers, each associated with one of M partially labeled data mani...
Many computational problems in game theory, such as finding Nash equilibria, are algorithmically hard to solve. This limitation forces analysts to limit attention to restricted su...
We study the best known general inner bound[1] and outer bound[2] for the capacity region of the two user discrete memory less channel. We prove that a seemingly stronger outer bou...
We investigate the resiliency of the Internet at the Autonomous System (AS) level to failures and attacks, under the real constraint of business agreements between the ASs. The ag...
Danny Dolev, Sugih Jamin, Osnat Mokryn, Yuval Shav...
The cross-entropy method (CE) developed by R. Rubinstein is an elegant practical principle for simulating rare events. The method approximates the probability of the rare event by...