Edit distance based string similarity join is a fundamental operator in string databases. Increasingly, many applications in data cleaning, data integration, and scientific compu...
Lifting can greatly reduce the cost of inference on firstorder probabilistic graphical models, but constructing the lifted network can itself be quite costly. In online applicatio...
Researchers building multi-agent algorithms typically work with abstracted away from real applications. The abstracted problem instances allow systematic and detailed investigatio...
Paul Scerri, Pragnesh Jay Modi, Wei-Min Shen, Mili...
Matrix factorization algorithms are frequently used in the machine learning community to find low dimensional representations of data. We introduce a novel generative Bayesian pro...
Reliable prediction of parametric yield for a specific design is difficult; a significant reason is the reliance of the yield estimation methods on the hard-to-measure distributio...