Efficient Sampling for Learning Sparse Additive Models in High Dimensions

Hemant Tyagi, Bernd Gärtner, Andreas Krause

Neural Information Processing Systems 

We consider the problem of learning sparse additive models, i.e., functions of the form: f(x) =

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