ResearchTrend.AI
  • Communities
  • Connect sessions
  • AI calendar
  • Organizations
  • Join Slack
  • Contact Sales
Papers
Communities
Social Events
Terms and Conditions
Pricing
Contact Sales
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2026 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 1702.05113
  4. Cited By
Adaptive Risk Bounds in Univariate Total Variation Denoising and Trend
  Filtering
v1v2 (latest)

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
ArXiv (abs)PDFHTML

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

43 / 43 papers shown
Adaptive Estimation and Learning under Temporal Distribution Shift
Adaptive Estimation and Learning under Temporal Distribution Shift
Dheeraj Baby
Yifei Tang
Hieu Duy Nguyen
Yu Wang
Rohit Pyati
OODAI4TS
290
0
0
21 May 2025
Risk Bounds For Distributional Regression
Risk Bounds For Distributional Regression
Carlos Misael Madrid Padilla
Oscar Hernan Madrid Padilla
S. Chatterjee
362
1
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, ℓ1\ell_1ℓ1​- and ℓ0\ell_0ℓ0​-penalisation
Fan Wang
Yi Yu
335
0
0
09 Oct 2023
Online Label Shift: Optimal Dynamic Regret meets Practical Algorithms
Online Label Shift: Optimal Dynamic Regret meets Practical AlgorithmsNeural Information Processing Systems (NeurIPS), 2023
Dheeraj Baby
Saurabh Garg
Tzu-Ching Yen
Sivaraman Balakrishnan
Zachary Chase Lipton
Yu Wang
313
17
0
31 May 2023
The Generalized Elastic Net for least squares regression with
  network-aligned signal and correlated design
The Generalized Elastic Net for least squares regression with network-aligned signal and correlated designIEEE Transactions on Signal and Information Processing over Networks (TSIPN), 2022
Huy Tran
Sansen Wei
Claire Donnat
330
4
0
01 Nov 2022
Exponential Family Trend Filtering on Lattices
Exponential Family Trend Filtering on LatticesElectronic Journal of Statistics (EJS), 2022
Veeranjaneyulu Sadhanala
R. Bassett
James Sharpnack
D. McDonald
222
3
0
19 Sep 2022
Variance estimation in graphs with the fused lasso
Variance estimation in graphs with the fused lassoJournal of machine learning research (JMLR), 2022
Oscar Hernan Madrid Padilla
527
7
0
26 Jul 2022
Spatially Adaptive Online Prediction of Piecewise Regular Functions
Spatially Adaptive Online Prediction of Piecewise Regular FunctionsInternational Conference on Algorithmic Learning Theory (ALT), 2022
S. Chatterjee
Subhajit Goswami
OffRL
374
1
0
30 Mar 2022
Element-wise Estimation Error of Generalized Fused Lasso
Element-wise Estimation Error of Generalized Fused LassoBernoulli (Bernoulli), 2022
Teng Zhang
S. Chatterjee
FedML
228
3
0
08 Mar 2022
Optimal Dynamic Regret in Proper Online Learning with Strongly Convex
  Losses and Beyond
Optimal Dynamic Regret in Proper Online Learning with Strongly Convex Losses and BeyondInternational Conference on Artificial Intelligence and Statistics (AISTATS), 2022
Dheeraj Baby
Yu Wang
319
34
0
21 Jan 2022
A Cross Validation Framework for Signal Denoising with Applications to
  Trend Filtering, Dyadic CART and Beyond
A Cross Validation Framework for Signal Denoising with Applications to Trend Filtering, Dyadic CART and BeyondAnnals of Statistics (Ann. Stat.), 2022
A. Chaudhuri
S. Chatterjee
283
8
0
07 Jan 2022
Multivariate Trend Filtering for Lattice Data
Multivariate Trend Filtering for Lattice DataAnnals of Statistics (Ann. Stat.), 2021
Veeranjaneyulu Sadhanala
Yu Wang
Addison J. Hu
Robert Tibshirani
322
7
0
29 Dec 2021
Denoising and change point localisation in piecewise-constant
  high-dimensional regression coefficients
Denoising and change point localisation in piecewise-constant high-dimensional regression coefficients
Fan Wang
Oscar Hernan Madrid Padilla
Yi Yu
Alessandro Rinaldo
285
5
0
27 Oct 2021
Regret Minimization in Isotonic, Heavy-Tailed Contextual Bandits via
  Adaptive Confidence Bands
Regret Minimization in Isotonic, Heavy-Tailed Contextual Bandits via Adaptive Confidence Bands
S. Chatterjee
Subhabrata Sen
OffRL
213
5
0
19 Oct 2021
Quantile Regression by Dyadic CART
Quantile Regression by Dyadic CART
Oscar Hernan Madrid Padilla
S. Chatterjee
205
1
0
16 Oct 2021
A Variational View on Statistical Multiscale Estimation
A Variational View on Statistical Multiscale EstimationAnnual Review of Statistics and Its Application (ARSIA), 2021
Markus Haltmeier
Housen Li
Axel Munk
271
5
0
10 Jun 2021
Optimal Dynamic Regret in Exp-Concave Online Learning
Optimal Dynamic Regret in Exp-Concave Online LearningAnnual Conference Computational Learning Theory (COLT), 2021
Dheeraj Baby
Yu Wang
329
53
0
23 Apr 2021
Tensor denoising with trend filtering
Tensor denoising with trend filteringMathematical Statistics and Learning (MSL), 2021
Francesco Ortelli
Sara van de Geer
248
5
0
26 Jan 2021
An Optimal Reduction of TV-Denoising to Adaptive Online Learning
An Optimal Reduction of TV-Denoising to Adaptive Online LearningInternational Conference on Artificial Intelligence and Statistics (AISTATS), 2021
Dheeraj Baby
Xuandong Zhao
Yu Wang
273
12
0
23 Jan 2021
Optimal Change-Point Detection and Localization
Optimal Change-Point Detection and Localization
Nicolas Verzélen
M. Fromont
M. Lerasle
Patricia Reynaud-Bouret
403
63
0
22 Oct 2020
Adaptive Online Estimation of Piecewise Polynomial Trends
Adaptive Online Estimation of Piecewise Polynomial TrendsNeural Information Processing Systems (NeurIPS), 2020
Dheeraj Baby
Yu Wang
354
13
0
30 Sep 2020
Isotonic regression with unknown permutations: Statistics, computation,
  and adaptation
Isotonic regression with unknown permutations: Statistics, computation, and adaptationAnnals of Statistics (Ann. Stat.), 2020
A. Pananjady
R. Samworth
261
30
0
05 Sep 2020
Localising change points in piecewise polynomials of general degrees
Localising change points in piecewise polynomials of general degrees
Yi Yu
S. Chatterjee
Haotian Xu
369
16
0
20 Jul 2020
Risk Bounds for Quantile Trend Filtering
Risk Bounds for Quantile Trend FilteringBiometrika (Biometrika), 2020
Oscar Hernan Madrid Padilla
S. Chatterjee
520
24
0
15 Jul 2020
Tree-Projected Gradient Descent for Estimating Gradient-Sparse
  Parameters on Graphs
Tree-Projected Gradient Descent for Estimating Gradient-Sparse Parameters on GraphsAnnual Conference Computational Learning Theory (COLT), 2020
Sheng Xu
Z. Fan
S. Negahban
199
0
0
31 May 2020
On a phase transition in general order spline regression
On a phase transition in general order spline regression
Yandi Shen
Q. Han
Fang Han
339
6
0
23 Apr 2020
Logistic regression with total variation regularization
Logistic regression with total variation regularization
Sara van de Geer
168
6
0
05 Mar 2020
Adaptive Estimation of Multivariate Piecewise Polynomials and Bounded
  Variation Functions by Optimal Decision Trees
Adaptive Estimation of Multivariate Piecewise Polynomials and Bounded Variation Functions by Optimal Decision TreesAnnals of Statistics (Ann. Stat.), 2019
S. Chatterjee
Subhajit Goswami
460
18
0
26 Nov 2019
Adaptive Rates for Total Variation Image Denoising
Adaptive Rates for Total Variation Image Denoising
Francesco Ortelli
Sara van de Geer
518
6
0
17 Nov 2019
Estimating Piecewise Monotone Signals
Estimating Piecewise Monotone SignalsElectronic Journal of Statistics (EJS), 2019
Kentaro Minami
251
10
0
06 May 2019
Prediction bounds for higher order total variation regularized least
  squares
Prediction bounds for higher order total variation regularized least squares
Francesco Ortelli
Sara van de Geer
378
21
0
24 Apr 2019
On Structured Filtering-Clustering: Global Error Bound and Optimal
  First-Order Algorithms
On Structured Filtering-Clustering: Global Error Bound and Optimal First-Order Algorithms
Nhat Ho
Tianyi Lin
Sai Li
445
2
0
16 Apr 2019
Multivariate extensions of isotonic regression and total variation
  denoising via entire monotonicity and Hardy-Krause variation
Multivariate extensions of isotonic regression and total variation denoising via entire monotonicity and Hardy-Krause variation
Billy Fang
Adityanand Guntuboyina
B. Sen
395
35
0
04 Mar 2019
Oracle inequalities for square root analysis estimators with application
  to total variation penalties
Oracle inequalities for square root analysis estimators with application to total variation penaltiesInformation and Inference A Journal of the IMA (JIII), 2019
Francesco Ortelli
Sara van de Geer
308
6
0
28 Feb 2019
New Risk Bounds for 2D Total Variation Denoising
New Risk Bounds for 2D Total Variation Denoising
S. Chatterjee
Subhajit Goswami
389
21
0
04 Feb 2019
Synthesis and analysis in total variation regularization
Synthesis and analysis in total variation regularization
Francesco Ortelli
Sara van de Geer
204
13
0
18 Jan 2019
Element-wise estimation error of a total variation regularized estimator
  for change point detection
Element-wise estimation error of a total variation regularized estimator for change point detection
Teng Zhang
225
4
0
03 Jan 2019
Frame-constrained Total Variation Regularization for White Noise
  Regression
Frame-constrained Total Variation Regularization for White Noise RegressionAnnals of Statistics (Ann. Stat.), 2018
Miguel del Álamo Ruiz
Housen Li
Axel Munk
408
13
0
05 Jul 2018
On the total variation regularized estimator over a class of tree graphs
On the total variation regularized estimator over a class of tree graphs
Francesco Ortelli
Sara van de Geer
366
19
0
04 Jun 2018
Distributed Cartesian Power Graph Segmentation for Graphon Estimation
Distributed Cartesian Power Graph Segmentation for Graphon Estimation
Shitong Wei
Oscar Hernan Madrid Padilla
James Sharpnack
159
1
0
25 May 2018
Nonparametric Shape-restricted Regression
Nonparametric Shape-restricted Regression
Adityanand Guntuboyina
B. Sen
401
78
0
17 Sep 2017
Approximate $l_0$-penalized estimation of piecewise-constant signals on
  graphs
Approximate l0l_0l0​-penalized estimation of piecewise-constant signals on graphs
Z. Fan
Leying Guan
274
22
0
04 Mar 2017
Adaptive confidence sets in shape restricted regression
Adaptive confidence sets in shape restricted regression
Pierre C. Bellec
245
3
0
21 Jan 2016
1
Page 1 of 1