no code implementations • NeurIPS 2017 • Veeranjaneyulu Sadhanala, Yu-Xiang Wang, James L. Sharpnack, Ryan J. Tibshirani
To move past this, we define two new higher-order TV classes, based on two ways of compiling the discrete derivatives of a parameter across the nodes.
no code implementations • NeurIPS 2017 • Kevin Lin, James L. Sharpnack, Alessandro Rinaldo, Ryan J. Tibshirani
In the 1-dimensional multiple changepoint detection problem, we derive a new fast error rate for the fused lasso estimator, under the assumption that the mean vector has a sparse number of changepoints.
