$Approximate Recovery in Changepoint Problems, from $\ell_2$ Estimation Error Rates$

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Approximate Recovery in Changepoint Problems, from $\ell_2$ Estimation Error Rates

21 June 2016

James Sharpnack

Alessandro Rinaldo

Robert Tibshirani

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Papers citing "Approximate Recovery in Changepoint Problems, from $\ell_2$ Estimation Error Rates"

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Title
Sequential (Quickest) Change Detection: Classical Results and New Directions Liyan Xie Shaofeng Zou Yao Xie Venugopal V. Veeravalli AI4TS 83 100 0 09 Apr 2021
Optimal Change-Point Detection and Localization Nicolas Verzélen M. Fromont M. Lerasle Patricia Reynaud-Bouret 62 45 0 22 Oct 2020
Vector-Valued Graph Trend Filtering with Non-Convex Penalties R. Varma Harlin Lee J. Kovacevic Yuejie Chi 102 33 0 29 May 2019
New Risk Bounds for 2D Total Variation Denoising S. Chatterjee Subhajit Goswami 91 21 0 04 Feb 2019
Change-point detection in a linear model by adaptive fused quantile method Gabriela Ciuperca M. Maciak 31 11 0 28 Jan 2019
Change-point Detection by the Quantile LASSO Method Gabriela Ciuperca M. Maciak 55 7 0 15 Jan 2019
Multiscale Change-point Segmentation: Beyond Step Functions Housen Li Qinghai Guo Axel Munk 79 21 0 13 Aug 2017
Approximate $l_0$ -penalized estimation of piecewise-constant signals on graphs Z. Fan Leying Guan 71 21 0 04 Mar 2017
Adaptive Risk Bounds in Univariate Total Variation Denoising and Trend Filtering Adityanand Guntuboyina Donovan Lieu S. Chatterjee B. Sen 82 67 0 16 Feb 2017
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