We examine linear program (LP) approaches to boosting and demonstrate their efficient solution using LPBoost, a column generation based simplex method. We formulate the problem as...
Ayhan Demiriz, Kristin P. Bennett, John Shawe-Tayl...
We present Rhodium, a new language for writing compiler optimizations that can be automatically proved sound. Unlike our previous work on Cobalt, Rhodium expresses optimizations u...
Sorin Lerner, Todd D. Millstein, Erika Rice, Craig...
Program transformation is an appealing technique which allows to improve run-time efficiency, space-consumption and more generally to optimize a given program. Essentially it con...
Paolo Tacchella, Maurizio Gabbrielli, Maria Chiara...
Using a call-by-value functional language as an example, this article illustrates the use of coinductive definitions and proofs in big-step operational semantics, enabling it to d...
Metric and kernel learning arise in several machine learning applications. However, most existing metric learning algorithms are limited to learning metrics over low-dimensional d...
Prateek Jain, Brian Kulis, Jason V. Davis, Inderji...