The Prediction of Performance

By M. Stepniewski. 2013

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

1. Asad Haris
2. Ali Shojaie
3. Noah R. Simon
4. Matthew F. Dixon
5. Cynthia Rudin
6. Ping Wang

Citations in the corpus

• Generalized Sparse Additive Models (2019, methodology): “, 2009) and, our slow rates can be seen as an additive generalization of the lasso slow rates (Dalalyan et al., 2017). For both slow and fast rates, we first present a deterministic result; this result simply states that if we are within a special set, T , then the convergence rates hold. We then sh”
• Wavelet regression and additive models for irregularly spaced data (2019, result): “Furthermore, the compatibility condition can be relaxed at the cost of proving a slower rate; this is similar to the lasso slow rate [Dalalyan et al., 2017].”