Tensor denoising with trend filtering
From MaRDI portal
Publication:2113264
DOI10.4171/MSL/26zbMath1493.62444arXiv2101.10692MaRDI QIDQ2113264
Francesco Ortelli, Sara van de Geer
Publication date: 11 March 2022
Published in: Mathematical Statistics and Learning (Search for Journal in Brave)
Full work available at URL: https://arxiv.org/abs/2101.10692
Related Items
Cites Work
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Estimation and testing under sparsity. École d'Été de Probabilités de Saint-Flour XLV -- 2015
- On the prediction performance of the Lasso
- Multivariate adaptive regression splines
- Locally adaptive regression splines
- On the total variation regularized estimator over a class of tree graphs
- Multivariate extensions of isotonic regression and total variation denoising via entire monotonicity and Hardy-Krause variation
- Adaptive estimation of multivariate piecewise polynomials and bounded variation functions by optimal decision trees
- Prediction bounds for higher order total variation regularized least squares
- Adaptive risk bounds in univariate total variation denoising and trend filtering
- Additive models with trend filtering
- Adaptive piecewise polynomial estimation via trend filtering
- Pathwise coordinate optimization
- $\ell_1$ Trend Filtering
- On tight bounds for the Lasso
- Sparsity and Smoothness Via the Fused Lasso
- New Risk Bounds for 2D Total Variation Denoising
- Oracle inequalities for square root analysis estimators with application to total variation penalties
- Analysis versus synthesis in signal priors