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Adaptive Risk Bounds in Univariate Total Variation Denoising and Trend Filtering

16 February 2017

Adityanand Guntuboyina

Papers citing "Adaptive Risk Bounds in Univariate Total Variation Denoising and Trend Filtering"

43 / 43 papers shown

Title
Adaptive Estimation and Learning under Temporal Distribution Shift Dheeraj Baby Yifei Tang Hieu Duy Nguyen Yu Wang Rohit Pyati OOD AI4TS 56 0 0 21 May 2025
Risk Bounds For Distributional Regression Carlos Misael Madrid Padilla Oscar Hernan Madrid Padilla S. Chatterjee 91 0 0 14 May 2025
$Transfer learning for piecewise-constant mean estimation: Optimality, $\ell_1$- and $\ell_0$-penalisation$ Transfer learning for piecewise-constant mean estimation: Optimality, $\ell_1$ - and $\ell_0$ -penalisation Fan Wang Yi Yu 34 0 0 09 Oct 2023
Online Label Shift: Optimal Dynamic Regret meets Practical Algorithms Dheeraj Baby Saurabh Garg Tzu-Ching Yen Sivaraman Balakrishnan Zachary Chase Lipton Yu Wang 70 8 0 31 May 2023
The Generalized Elastic Net for least squares regression with network-aligned signal and correlated design Huy Tran Sansen Wei Claire Donnat 62 3 0 01 Nov 2022
Exponential Family Trend Filtering on Lattices Veeranjaneyulu Sadhanala R. Bassett James Sharpnack D. McDonald 57 3 0 19 Sep 2022
Variance estimation in graphs with the fused lasso Oscar Hernan Madrid Padilla 141 5 0 26 Jul 2022
Spatially Adaptive Online Prediction of Piecewise Regular Functions S. Chatterjee Subhajit Goswami OffRL 60 1 0 30 Mar 2022
Element-wise Estimation Error of Generalized Fused Lasso Teng Zhang S. Chatterjee FedML 34 2 0 08 Mar 2022
Optimal Dynamic Regret in Proper Online Learning with Strongly Convex Losses and Beyond Dheeraj Baby Yu Wang 95 28 0 21 Jan 2022
A Cross Validation Framework for Signal Denoising with Applications to Trend Filtering, Dyadic CART and Beyond A. Chaudhuri S. Chatterjee 39 4 0 07 Jan 2022
Multivariate Trend Filtering for Lattice Data Veeranjaneyulu Sadhanala Yu Wang Addison J. Hu Robert Tibshirani 53 7 0 29 Dec 2021
Denoising and change point localisation in piecewise-constant high-dimensional regression coefficients Fan Wang Oscar Hernan Madrid Padilla Yi Yu Alessandro Rinaldo 72 5 0 27 Oct 2021
Regret Minimization in Isotonic, Heavy-Tailed Contextual Bandits via Adaptive Confidence Bands S. Chatterjee Subhabrata Sen OffRL 20 5 0 19 Oct 2021
Quantile Regression by Dyadic CART Oscar Hernan Madrid Padilla S. Chatterjee 33 1 0 16 Oct 2021
A Variational View on Statistical Multiscale Estimation Markus Haltmeier Housen Li Axel Munk 62 4 0 10 Jun 2021
Optimal Dynamic Regret in Exp-Concave Online Learning Dheeraj Baby Yu Wang 109 46 0 23 Apr 2021
Tensor denoising with trend filtering Francesco Ortelli Sara van de Geer 64 5 0 26 Jan 2021
An Optimal Reduction of TV-Denoising to Adaptive Online Learning Dheeraj Baby Xuandong Zhao Yu Wang 82 12 0 23 Jan 2021
Optimal Change-Point Detection and Localization Nicolas Verzélen M. Fromont M. Lerasle Patricia Reynaud-Bouret 62 45 0 22 Oct 2020
Adaptive Online Estimation of Piecewise Polynomial Trends Dheeraj Baby Yu Wang 75 13 0 30 Sep 2020
Isotonic regression with unknown permutations: Statistics, computation, and adaptation A. Pananjady R. Samworth 48 25 0 05 Sep 2020
Localising change points in piecewise polynomials of general degrees Yi Yu S. Chatterjee Haotian Xu 25 14 0 20 Jul 2020
Risk Bounds for Quantile Trend Filtering Oscar Hernan Madrid Padilla S. Chatterjee 64 22 0 15 Jul 2020
Tree-Projected Gradient Descent for Estimating Gradient-Sparse Parameters on Graphs Sheng Xu Z. Fan S. Negahban 51 0 0 31 May 2020
On a phase transition in general order spline regression Yandi Shen Q. Han Fang Han 57 5 0 23 Apr 2020
Logistic regression with total variation regularization Sara van de Geer 52 6 0 05 Mar 2020
Adaptive Estimation of Multivariate Piecewise Polynomials and Bounded Variation Functions by Optimal Decision Trees S. Chatterjee Subhajit Goswami 104 18 0 26 Nov 2019
Adaptive Rates for Total Variation Image Denoising Francesco Ortelli Sara van de Geer 62 6 0 17 Nov 2019
Estimating Piecewise Monotone Signals Kentaro Minami 41 10 0 06 May 2019
Prediction bounds for higher order total variation regularized least squares Francesco Ortelli Sara van de Geer 88 21 0 24 Apr 2019
On Structured Filtering-Clustering: Global Error Bound and Optimal First-Order Algorithms Nhat Ho Tianyi Lin Michael I. Jordan 119 2 0 16 Apr 2019
Multivariate extensions of isotonic regression and total variation denoising via entire monotonicity and Hardy-Krause variation Billy Fang Adityanand Guntuboyina B. Sen 77 32 0 04 Mar 2019
Oracle inequalities for square root analysis estimators with application to total variation penalties Francesco Ortelli Sara van de Geer 36 6 0 28 Feb 2019
New Risk Bounds for 2D Total Variation Denoising S. Chatterjee Subhajit Goswami 69 21 0 04 Feb 2019
Synthesis and analysis in total variation regularization Francesco Ortelli Sara van de Geer 31 12 0 18 Jan 2019
Element-wise estimation error of a total variation regularized estimator for change point detection Teng Zhang 50 4 0 03 Jan 2019
Frame-constrained Total Variation Regularization for White Noise Regression Miguel del Álamo Ruiz Housen Li Axel Munk 66 13 0 05 Jul 2018
On the total variation regularized estimator over a class of tree graphs Francesco Ortelli Sara van de Geer 35 19 0 04 Jun 2018
Distributed Cartesian Power Graph Segmentation for Graphon Estimation Shitong Wei Oscar Hernan Madrid Padilla James Sharpnack 27 1 0 25 May 2018
Nonparametric Shape-restricted Regression Adityanand Guntuboyina B. Sen 101 70 0 17 Sep 2017
Approximate $l_0$ -penalized estimation of piecewise-constant signals on graphs Z. Fan Leying Guan 71 21 0 04 Mar 2017
Adaptive confidence sets in shape restricted regression Pierre C. Bellec 25 3 0 21 Jan 2016