We propose a new method for comparing learning algorithms on multiple tasks which is based on a novel non-parametric test that we call the Poisson binomial test. The key aspect of...
In this paper we address the problem of pool based active learning, and provide an algorithm, called UPAL, that works by minimizing the unbiased estimator of the risk of a hypothe...
We develop scalable algorithms for regular and non-negative matrix completion. In particular, we base the methods on trace-norm regularization that induces a low rank predicted ma...
During code review tasks, comparing two versions of a hardware design description using existing program differencing tools such as diff is inherently limited because existing p...
Verification of object-oriented programs relies on object invariants which express consistency criteria of objects. The semantics of object invariants is subtle, mainly because of...
Sophia Drossopoulou, Adrian Francalanza, Peter M&u...