Random sampling is an appealing approach to build synopses of large data streams because random samples can be used for a broad spectrum of analytical tasks. Users are often inter...
We study the problem of testing isomorphism (equivalence up to relabelling of the variables) of two Boolean functions f, g : {0, 1}n → {0, 1}. Our main focus is on the most stud...
Empirical risk minimization offers well-known learning guarantees when training and test data come from the same domain. In the real world, though, we often wish to adapt a classi...
John Blitzer, Koby Crammer, Alex Kulesza, Fernando...
We propose a communication scheme for GALS systems with independent but approximately synchronized clock sources, which guarantees high-speed metastability-free communication betwe...
Abstract. We consider the tasks of testing and spot-checking for data streams. These testers and spotcheckers are potentially useful in real-time or near real-time applications tha...
Joan Feigenbaum, Sampath Kannan, Martin Strauss, M...