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1702.05113
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Adaptive Risk Bounds in Univariate Total Variation Denoising and Trend Filtering
Annals of Statistics (Ann. Stat.), 2017
16 February 2017
Adityanand Guntuboyina
Donovan Lieu
S. Chatterjee
B. Sen
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Papers citing
"Adaptive Risk Bounds in Univariate Total Variation Denoising and Trend Filtering"
43 / 43 papers shown
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Transfer learning for piecewise-constant mean estimation: Optimality,
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Variance estimation in graphs with the fused lasso
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Spatially Adaptive Online Prediction of Piecewise Regular Functions
International Conference on Algorithmic Learning Theory (ALT), 2022
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Subhajit Goswami
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Element-wise Estimation Error of Generalized Fused Lasso
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Optimal Dynamic Regret in Proper Online Learning with Strongly Convex Losses and Beyond
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A Cross Validation Framework for Signal Denoising with Applications to Trend Filtering, Dyadic CART and Beyond
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Multivariate Trend Filtering for Lattice Data
Annals of Statistics (Ann. Stat.), 2021
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Robert Tibshirani
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Denoising and change point localisation in piecewise-constant high-dimensional regression coefficients
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Regret Minimization in Isotonic, Heavy-Tailed Contextual Bandits via Adaptive Confidence Bands
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Quantile Regression by Dyadic CART
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A Variational View on Statistical Multiscale Estimation
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Housen Li
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Optimal Dynamic Regret in Exp-Concave Online Learning
Annual Conference Computational Learning Theory (COLT), 2021
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Yu Wang
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Tensor denoising with trend filtering
Mathematical Statistics and Learning (MSL), 2021
Francesco Ortelli
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An Optimal Reduction of TV-Denoising to Adaptive Online Learning
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Xuandong Zhao
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Optimal Change-Point Detection and Localization
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M. Fromont
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Adaptive Online Estimation of Piecewise Polynomial Trends
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Yu Wang
354
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Isotonic regression with unknown permutations: Statistics, computation, and adaptation
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Localising change points in piecewise polynomials of general degrees
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Risk Bounds for Quantile Trend Filtering
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Logistic regression with total variation regularization
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Adaptive Estimation of Multivariate Piecewise Polynomials and Bounded Variation Functions by Optimal Decision Trees
Annals of Statistics (Ann. Stat.), 2019
S. Chatterjee
Subhajit Goswami
460
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Adaptive Rates for Total Variation Image Denoising
Francesco Ortelli
Sara van de Geer
518
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Estimating Piecewise Monotone Signals
Electronic Journal of Statistics (EJS), 2019
Kentaro Minami
251
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Prediction bounds for higher order total variation regularized least squares
Francesco Ortelli
Sara van de Geer
378
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On Structured Filtering-Clustering: Global Error Bound and Optimal First-Order Algorithms
Nhat Ho
Tianyi Lin
Sai Li
445
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Multivariate extensions of isotonic regression and total variation denoising via entire monotonicity and Hardy-Krause variation
Billy Fang
Adityanand Guntuboyina
B. Sen
395
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04 Mar 2019
Oracle inequalities for square root analysis estimators with application to total variation penalties
Information and Inference A Journal of the IMA (JIII), 2019
Francesco Ortelli
Sara van de Geer
308
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28 Feb 2019
New Risk Bounds for 2D Total Variation Denoising
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Synthesis and analysis in total variation regularization
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204
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Element-wise estimation error of a total variation regularized estimator for change point detection
Teng Zhang
225
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Frame-constrained Total Variation Regularization for White Noise Regression
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Miguel del Álamo Ruiz
Housen Li
Axel Munk
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On the total variation regularized estimator over a class of tree graphs
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Sara van de Geer
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Distributed Cartesian Power Graph Segmentation for Graphon Estimation
Shitong Wei
Oscar Hernan Madrid Padilla
James Sharpnack
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Nonparametric Shape-restricted Regression
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B. Sen
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Approximate
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-penalized estimation of piecewise-constant signals on graphs
Z. Fan
Leying Guan
274
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Adaptive confidence sets in shape restricted regression
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245
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