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Global risk bounds and adaptation in univariate convex regression
v1v2v3v4 (latest)

Global risk bounds and adaptation in univariate convex regression

7 May 2013
Adityanand Guntuboyina
B. Sen
ArXiv (abs)PDFHTML

Papers citing "Global risk bounds and adaptation in univariate convex regression"

26 / 26 papers shown
Title
Spatially Adaptive Online Prediction of Piecewise Regular Functions
Spatially Adaptive Online Prediction of Piecewise Regular Functions
S. Chatterjee
Subhajit Goswami
OffRL
73
1
0
30 Mar 2022
A User-Friendly Computational Framework for Robust Structured Regression
  with the L$_2$ Criterion
A User-Friendly Computational Framework for Robust Structured Regression with the L2_22​ Criterion
Jocelyn T. Chi
Eric C. Chi
OffRL
56
5
0
08 Oct 2020
Risk Bounds for Quantile Trend Filtering
Risk Bounds for Quantile Trend Filtering
Oscar Hernan Madrid Padilla
S. Chatterjee
88
22
0
15 Jul 2020
Local continuity of log-concave projection, with applications to
  estimation under model misspecification
Local continuity of log-concave projection, with applications to estimation under model misspecification
Rina Foygel Barber
R. Samworth
86
6
0
14 Feb 2020
Confidence intervals for multiple isotonic regression and other monotone
  models
Confidence intervals for multiple isotonic regression and other monotone models
Hang Deng
Q. Han
Cun-Hui Zhang
82
15
0
20 Jan 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 Trees
S. Chatterjee
Subhajit Goswami
127
18
0
26 Nov 2019
Limit distribution theory for block estimators in multiple isotonic
  regression
Limit distribution theory for block estimators in multiple isotonic regression
Q. Han
Cun-Hui Zhang
86
13
0
30 May 2019
Multivariate Distributionally Robust Convex Regression under Absolute
  Error Loss
Multivariate Distributionally Robust Convex Regression under Absolute Error Loss
Jose H. Blanchet
Peter Glynn
Jun Yan
Zhengqing Zhou
80
31
0
29 May 2019
Orthogonal Statistical Learning
Orthogonal Statistical Learning
Dylan J. Foster
Vasilis Syrgkanis
171
174
0
25 Jan 2019
Adaptive Sampling for Convex Regression
Adaptive Sampling for Convex Regression
Max Simchowitz
Kevin Jamieson
Jordan W. Suchow
Thomas Griffiths
71
4
0
14 Aug 2018
Nonparametric Shape-restricted Regression
Nonparametric Shape-restricted Regression
Adityanand Guntuboyina
B. Sen
101
70
0
17 Sep 2017
Isotonic regression in general dimensions
Isotonic regression in general dimensions
Q. Han
Tengyao Wang
S. Chatterjee
R. Samworth
61
98
0
30 Aug 2017
Estimation bounds and sharp oracle inequalities of regularized
  procedures with Lipschitz loss functions
Estimation bounds and sharp oracle inequalities of regularized procedures with Lipschitz loss functions
Pierre Alquier
V. Cottet
Guillaume Lecué
264
61
0
05 Feb 2017
Bayesian fractional posteriors
Bayesian fractional posteriors
A. Bhattacharya
D. Pati
Yun Yang
121
110
0
03 Nov 2016
Least squares estimation in the monotone single index model
Least squares estimation in the monotone single index model
F. Balabdaoui
C. Durot
H. Jankowski
77
45
0
19 Oct 2016
Adaptation in log-concave density estimation
Adaptation in log-concave density estimation
Arlene K. H. Kim
Adityanand Guntuboyina
R. Samworth
75
45
0
03 Sep 2016
Multivariate convex regression: global risk bounds and adaptation
Multivariate convex regression: global risk bounds and adaptation
Q. Han
J. Wellner
71
48
0
25 Jan 2016
Adaptive confidence sets in shape restricted regression
Adaptive confidence sets in shape restricted regression
Pierre C. Bellec
40
3
0
21 Jan 2016
Adaptive Risk Bounds in Unimodal Regression
Adaptive Risk Bounds in Unimodal Regression
S. Chatterjee
John D. Lafferty
101
36
0
09 Dec 2015
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
106
96
0
27 Oct 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
120
35
0
29 Jun 2015
Approximation and Estimation of s-Concave Densities via Rényi
  Divergences
Approximation and Estimation of s-Concave Densities via Rényi Divergences
Q. Han
J. Wellner
138
36
0
02 May 2015
On Convex Least Squares Estimation when the Truth is Linear
On Convex Least Squares Estimation when the Truth is Linear
Yining Chen
J. Wellner
65
13
0
17 Nov 2014
Generalised additive and index models with shape constraints
Generalised additive and index models with shape constraints
Yining Chen
R. Samworth
97
82
0
10 Apr 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
128
138
0
15 Nov 2013
Global Rates of Convergence of the MLEs of Log-concave and s-concave
  Densities
Global Rates of Convergence of the MLEs of Log-concave and s-concave Densities
Charles R. Doss
J. Wellner
114
79
0
06 Jun 2013
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