We present a framework for margin based active learning of linear separators. We instantiate it for a few important cases, some of which have been previously considered in the lite...
Maria-Florina Balcan, Andrei Z. Broder, Tong Zhang
In the present paper, we study the problem of aggregation under the squared loss in the model of regression with deterministic design. We obtain sharp oracle inequalities for conve...
This paper introduces COLT (Continuous On-Line Tuning), a novel framework that continuously monitors the workload of a database system and enriches the existing physical design wi...
Karl Schnaitter, Serge Abiteboul, Tova Milo, Neokl...