Modular proximal optimization for multidimensional total-variation regularization

3 November 2014

Papers citing "Modular proximal optimization for multidimensional total-variation regularization"

12 / 12 papers shown

Title
Untangling Lariats: Subgradient Following of Variationally Penalized Objectives Kai-Chia Mo Shai Shalev-Shwartz Nisael Shártov 37 0 0 07 May 2024
Mitigating Data Consistency Induced Discrepancy in Cascaded Diffusion Models for Sparse-view CT Reconstruction Hanyu Chen Zhixiu Hao Lin Guo Liying Xiao 41 1 0 14 Mar 2024
Exponential Family Trend Filtering on Lattices Veeranjaneyulu Sadhanala R. Bassett James Sharpnack D. McDonald 35 3 0 19 Sep 2022
Multivariate Trend Filtering for Lattice Data Veeranjaneyulu Sadhanala Yu-Xiang Wang Addison J. Hu R. Tibshirani 21 8 0 29 Dec 2021
Extraction of Nystagmus Patterns from Eye-Tracker Data with Convolutional Sparse Coding Clément Lalanne Maxence Rateaux L. Oudre M. Robert Thomas Moreau 17 3 0 25 Nov 2020
On the Complexity of the Weighted Fused Lasso José Bento R. Furmaniak Surjyendu Ray 27 7 0 15 Jan 2018
Interpretable Low-Dimensional Regression via Data-Adaptive Smoothing Wesley Tansey Jesse Thomason James G. Scott 18 4 0 06 Aug 2017
The DFS Fused Lasso: Linear-Time Denoising over General Graphs Oscar Hernan Madrid Padilla James G. Scott James Sharpnack R. Tibshirani FedML 36 67 0 11 Aug 2016
Total Variation Classes Beyond 1d: Minimax Rates, and the Limitations of Linear Smoothers Veeranjaneyulu Sadhanala Yu-Xiang Wang R. Tibshirani 21 73 0 26 May 2016
Total variation on a tree V. Kolmogorov Thomas Pock Michal Rolínek 19 42 0 26 Feb 2015
False discovery rate smoothing Wesley Tansey Oluwasanmi Koyejo R. Poldrack James G. Scott 31 46 0 22 Nov 2014
Properties and refinements of the fused lasso Alessandro Rinaldo 68 183 0 02 May 2008