ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 1905.01840
  4. Cited By
Estimating Piecewise Monotone Signals
v1v2 (latest)

Estimating Piecewise Monotone Signals

6 May 2019
Kentaro Minami
ArXiv (abs)PDFHTML

Papers citing "Estimating Piecewise Monotone Signals"

18 / 18 papers shown
Title
Nonparametric Shape-restricted Regression
Nonparametric Shape-restricted Regression
Adityanand Guntuboyina
B. Sen
62
70
0
17 Sep 2017
Isotonic regression in general dimensions
Isotonic regression in general dimensions
Q. Han
Tengyao Wang
S. Chatterjee
R. Samworth
42
98
0
30 Aug 2017
On Estimation of Isotonic Piecewise Constant Signals
On Estimation of Isotonic Piecewise Constant Signals
Chao Gao
Fang Han
Cun-Hui Zhang
31
32
0
18 May 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
63
21
0
04 Mar 2017
Adaptive Risk Bounds in Univariate Total Variation Denoising and Trend
  Filtering
Adaptive Risk Bounds in Univariate Total Variation Denoising and Trend Filtering
Adityanand Guntuboyina
Donovan Lieu
S. Chatterjee
B. Sen
57
67
0
16 Feb 2017
Multivariate convex regression: global risk bounds and adaptation
Multivariate convex regression: global risk bounds and adaptation
Q. Han
J. Wellner
61
48
0
25 Jan 2016
Sharp oracle inequalities for Least Squares estimators in shape
  restricted regression
Sharp oracle inequalities for Least Squares estimators in shape restricted regression
Pierre C. Bellec
55
96
0
27 Oct 2015
Fast, Provable Algorithms for Isotonic Regression in all
  $\ell_{p}$-norms
Fast, Provable Algorithms for Isotonic Regression in all ℓp\ell_{p}ℓp​-norms
Rasmus Kyng
Anup B. Rao
Sushant Sachdeva
41
47
0
02 Jul 2015
Sharp oracle bounds for monotone and convex regression through
  aggregation
Sharp oracle bounds for monotone and convex regression through aggregation
Pierre C. Bellec
Alexandre B. Tsybakov
61
35
0
29 Jun 2015
On matrix estimation under monotonicity constraints
On matrix estimation under monotonicity constraints
S. Chatterjee
Adityanand Guntuboyina
B. Sen
90
60
0
10 Jun 2015
On the Prediction Performance of the Lasso
On the Prediction Performance of the Lasso
A. Dalalyan
Mohamed Hebiri
Johannes Lederer
170
167
0
07 Feb 2014
A new perspective on least squares under convex constraint
A new perspective on least squares under convex constraint
S. Chatterjee
119
117
0
04 Feb 2014
On risk bounds in isotonic and other shape restricted regression
  problems
On risk bounds in isotonic and other shape restricted regression problems
S. Chatterjee
Adityanand Guntuboyina
B. Sen
72
138
0
15 Nov 2013
Learning with Submodular Functions: A Convex Optimization Perspective
Learning with Submodular Functions: A Convex Optimization Perspective
Francis R. Bach
132
478
0
28 Nov 2011
Convex and Network Flow Optimization for Structured Sparsity
Convex and Network Flow Optimization for Structured Sparsity
Julien Mairal
Rodolphe Jenatton
G. Obozinski
Francis R. Bach
157
109
0
11 Apr 2011
Shaping Level Sets with Submodular Functions
Shaping Level Sets with Submodular Functions
Francis R. Bach
110
25
0
07 Dec 2010
Minimax rates of estimation for high-dimensional linear regression over
  $\ell_q$-balls
Minimax rates of estimation for high-dimensional linear regression over ℓq\ell_qℓq​-balls
Garvesh Raskutti
Martin J. Wainwright
Bin Yu
220
575
0
11 Oct 2009
Piecewise linear regularized solution paths
Piecewise linear regularized solution paths
Saharon Rosset
Ji Zhu
538
522
0
16 Aug 2007
1