Attribute Efficient Linear Regression with Data-Dependent Sampling

23 Oct 2014Doron KuklianskyOhad Shamir

In this paper we analyze a budgeted learning setting, in which the learner can only choose and observe a small subset of the attributes of each training example. We develop efficient algorithms for ridge and lasso linear regression, which utilize the geometry of the data by a novel data-dependent sampling scheme... (read more)

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