activity
20182021
most citedSynthesis and analysis in total variation regularization

10 citations · 10 across the 1 of their papers we have counts for

collaborators

6 papers

math.ST2021

Tensor denoising with trend filtering

Francesco Ortelli, Sara van de Geer

We extend the notion of trend filtering to tensors by considering the -order Vitali variation, a discretized version of the integral of the absolute value of the $k^{\r…

math.ST2019

Adaptive Rates for Total Variation Image Denoising

Francesco Ortelli, Sara van de Geer

We study the theoretical properties of image denoising via total variation penalized least-squares. We define the total vatiation in terms of the two-dimensional total discrete der…

math.ST2019

Prediction bounds for higher order total variation regularized least squares

Francesco Ortelli, Sara van de Geer

We establish adaptive results for trend filtering: least squares estimation with a penalty on the total variation of order differences. Our approach is based on co…

math.ST2019

Oracle inequalities for square root analysis estimators with application to total variation penalties

Francesco Ortelli, Sara van de Geer

Through the direct study of the analysis estimator we derive oracle inequalities with fast and slow rates by adapting the arguments involving projections by Dalalyan, Hebiri and Le…

math.ST201910 cited

Synthesis and analysis in total variation regularization

Francesco Ortelli, Sara van de Geer

We generalize the bridge between analysis and synthesis estimators by Elad, Milanfar and Rubinstein (2007) to rank deficient cases. This is a starting point for the study of the co…

math.ST2018

On the total variation regularized estimator over a class of tree graphs

Francesco Ortelli, Sara van de Geer

We generalize to tree graphs obtained by connecting path graphs an oracle result obtained for the Fused Lasso over the path graph. Moreover we show that it is possible to substitut…