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Adaptive piecewise polynomial estimation via trend filtering

10 April 2013

Papers citing "Adaptive piecewise polynomial estimation via trend filtering"

29 / 79 papers shown

Title
Multivariate extensions of isotonic regression and total variation denoising via entire monotonicity and Hardy-Krause variation Billy Fang Adityanand Guntuboyina B. Sen 75 32 0 04 Mar 2019
New Risk Bounds for 2D Total Variation Denoising S. Chatterjee Subhajit Goswami 66 21 0 04 Feb 2019
A maximum principle argument for the uniform convergence of graph Laplacian regressors Nicolas García Trillos Ryan W. Murray 90 20 0 29 Jan 2019
Change-point Detection by the Quantile LASSO Method Gabriela Ciuperca M. Maciak 55 7 0 15 Jan 2019
Sparse and Smooth Signal Estimation: Convexification of L0 Formulations Alper Atamtürk A. Gómez Shaoning Han 85 44 0 06 Nov 2018
The Reconstruction Approach: From Interpolation to Regression Shifeng Xiong 8 11 0 25 May 2018
Algorithms for Estimating Trends in Global Temperature Volatility Arash Khodadadi D. McDonald 52 4 0 18 May 2018
Perspective Maximum Likelihood-Type Estimation via Proximal Decomposition P. Combettes Christian L. Müller 44 20 0 16 May 2018
Large Sample Properties of Partitioning-Based Series Estimators M. D. Cattaneo M. Farrell Yingjie Feng 109 52 0 13 Apr 2018
Snake: a Stochastic Proximal Gradient Algorithm for Regularized Problems over Large Graphs Adil Salim Pascal Bianchi W. Hachem 65 17 0 19 Dec 2017
A Cluster Elastic Net for Multivariate Regression Bradley S. Price Ben Sherwood 88 17 0 12 Jul 2017
Adaptive Risk Bounds in Univariate Total Variation Denoising and Trend Filtering Adityanand Guntuboyina Donovan Lieu S. Chatterjee B. Sen 65 67 0 16 Feb 2017
Detecting changes in slope with an $L_0$ penalty R. Maidstone Paul Fearnhead Adam N. Letchford 80 58 0 06 Jan 2017
Saturating Splines and Feature Selection N. Boyd Trevor Hastie Stephen P. Boyd Benjamin Recht Michael I. Jordan 48 13 0 21 Sep 2016
The DFS Fused Lasso: Linear-Time Denoising over General Graphs Oscar Hernan Madrid Padilla James G. Scott James Sharpnack Robert Tibshirani FedML 117 67 0 11 Aug 2016
Oracle Inequalities for High-dimensional Prediction Johannes Lederer Lu Yu Irina Gaynanova 75 24 0 01 Aug 2016
$Approximate Recovery in Changepoint Problems, from $\ell_2$ Estimation Error Rates$ Approximate Recovery in Changepoint Problems, from $\ell_2$ Estimation Error Rates Kevin Lin James Sharpnack Alessandro Rinaldo Robert Tibshirani 71 27 0 21 Jun 2016
Denoising Flows on Trees S. Chatterjee John D. Lafferty 38 2 0 25 Feb 2016
Convex Fused Lasso Denoising with Non-Convex Regularization and its use for Pulse Detection Ankit Parekh I. Selesnick 108 37 0 09 Sep 2015
Tensor decomposition with generalized lasso penalties Oscar Hernan Madrid Padilla James G. Scott 61 22 0 24 Feb 2015
Proximal Algorithms in Statistics and Machine Learning Nicholas G. Polson James G. Scott Brandon T. Willard 335 150 0 11 Feb 2015
High-Dimensional Longitudinal Classification with the Multinomial Fused Lasso S. Adhikari F. Lecci J. Becker B. Junker L. Kuller O. Lopez Robert Tibshirani 45 13 0 29 Jan 2015
$Convex clustering via $\ell_1$ fusion penalization$ Convex clustering via $\ell_1$ fusion penalization P. Radchenko Gourab Mukherjee 122 37 0 02 Dec 2014
Modular proximal optimization for multidimensional total-variation regularization Á. Jiménez S. Sra 139 120 0 03 Nov 2014
Trend Filtering on Graphs Yu Wang James Sharpnack Alex Smola Robert Tibshirani 96 243 0 28 Oct 2014
Fused Lasso Additive Model Ashley Petersen Daniela Witten N. Simon 73 73 0 18 Sep 2014
Fast and Flexible ADMM Algorithms for Trend Filtering Aaditya Ramdas Robert Tibshirani 94 122 0 09 Jun 2014
Efficient Implementations of the Generalized Lasso Dual Path Algorithm T. Arnold Robert Tibshirani 184 113 0 13 May 2014
The Falling Factorial Basis and Its Statistical Applications Yu Wang Alex Smola Robert Tibshirani 97 48 0 03 May 2014