Communities
Connect sessions
AI calendar
Organizations
Join Slack
Contact Sales
Search
Open menu
Home
Papers
1003.4765
Cited By
v1
v2
v3 (latest)
Nonparametric Least Squares Estimation of a Multivariate Convex Regression Function
24 March 2010
E. Seijo
B. Sen
Re-assign community
ArXiv (abs)
PDF
HTML
Papers citing
"Nonparametric Least Squares Estimation of a Multivariate Convex Regression Function"
50 / 52 papers shown
Kernel-Based Nonparametric Tests For Shape Constraints
Rohan Sen
223
0
0
19 Oct 2025
Convex Regression with a Penalty
Eunji Lim
106
1
0
24 Sep 2025
Optimal Confidence Bands for Shape-restricted Regression in Multidimensions
Ashley Datta
Datta
Somabha Mukherjee
Bodhisattva Sen
235
0
0
23 Jan 2024
On the Variance, Admissibility, and Stability of Empirical Risk Minimization
Neural Information Processing Systems (NeurIPS), 2023
Gil Kur
E. Putterman
Alexander Rakhlin
326
7
0
29 May 2023
Mixed Regression via Approximate Message Passing
Journal of machine learning research (JMLR), 2023
Nelvin Tan
R. Venkataramanan
346
7
0
05 Apr 2023
Learning linear dynamical systems under convex constraints
Hemant Tyagi
D. Efimov
401
3
0
27 Mar 2023
Finding Regularized Competitive Equilibria of Heterogeneous Agent Macroeconomic Models with Reinforcement Learning
International Conference on Artificial Intelligence and Statistics (AISTATS), 2023
Ruitu Xu
Yifei Min
Tianhao Wang
Zhaoran Wang
Michael I. Jordan
Zhuoran Yang
253
8
0
24 Feb 2023
Data-Driven Sample Average Approximation with Covariate Information
R. Kannan
G. Bayraksan
James R. Luedtke
620
56
0
27 Jul 2022
An Efficient Minimax Optimal Estimator For Multivariate Convex Regression
Gil Kur
E. Putterman
242
0
0
06 May 2022
A Sharper Computational Tool for
L
2
E
\text{L}_2\text{E}
L
2
E
Regression
Xiaoqian Liu
Eric C. Chi
K. Lange
363
4
0
06 Mar 2022
Learning PSD-valued functions using kernel sums-of-squares
Boris Muzellec
Francis R. Bach
Alessandro Rudi
256
9
0
22 Nov 2021
Spectrahedral Regression
SIAM Journal on Optimization (SIAM J. Optim.), 2021
Eliza O'Reilly
V. Chandrasekaran
163
2
0
27 Oct 2021
pyStoNED: A Python Package for Convex Regression and Frontier Estimation
Journal of Statistical Software (JSS), 2021
Sheng Dai
Yunzhe Fang
Chia-Yen Lee
Timo Kuosmanen
98
16
0
27 Sep 2021
Plugin Estimation of Smooth Optimal Transport Maps
Annals of Statistics (Ann. Stat.), 2021
Tudor Manole
Sivaraman Balakrishnan
Jonathan Niles-Weed
Larry A. Wasserman
OT
551
120
0
26 Jul 2021
OpReg-Boost: Learning to Accelerate Online Algorithms with Operator Regression
Conference on Learning for Dynamics & Control (L4DC), 2021
Nicola Bastianello
Andrea Simonetto
E. Dall’Anese
445
3
0
27 May 2021
A new computational framework for log-concave density estimation
Mathematical Programming Computation (MPC), 2021
Wenyu Chen
Rahul Mazumder
R. Samworth
301
5
0
24 May 2021
A User-Friendly Computational Framework for Robust Structured Regression with the L
2
_2
2
Criterion
Journal of Computational And Graphical Statistics (JCGS), 2020
Jocelyn T. Chi
Eric C. Chi
OffRL
358
6
0
08 Oct 2020
Extensions to the Proximal Distance Method of Constrained Optimization
Journal of machine learning research (JMLR), 2020
Alfonso Landeros
Oscar Hernan Madrid Padilla
Hua Zhou
K. Lange
359
10
0
02 Sep 2020
Nonparametric Learning of Two-Layer ReLU Residual Units
Zhunxuan Wang
Linyun He
Chunchuan Lyu
Shay B. Cohen
MLT
OffRL
557
1
0
17 Aug 2020
Convex Regression in Multidimensions: Suboptimality of Least Squares Estimators
Annals of Statistics (Ann. Stat.), 2020
Gil Kur
Fuchang Gao
Adityanand Guntuboyina
B. Sen
330
16
0
03 Jun 2020
Subgradient Regularized Multivariate Convex Regression at Scale
Wenyu Chen
Rahul Mazumder
290
11
0
23 May 2020
Stratified incomplete local simplex tests for curvature of nonparametric multiple regression
Bernoulli (Bernoulli), 2020
Yanglei Song
Xiaohui Chen
Kengo Kato
527
2
0
20 Mar 2020
Least Squares Estimation of a Quasiconvex Regression Function
Somabha Mukherjee
Rohit Patra
Andrew L. Johnson
Hiroshi Morita
419
3
0
09 Mar 2020
Efficient algorithms for multivariate shape-constrained convex regression problems
Meixia Lin
Defeng Sun
Kim-Chuan Toh
132
6
0
26 Feb 2020
Local continuity of log-concave projection, with applications to estimation under model misspecification
Rina Foygel Barber
R. Samworth
503
10
0
14 Feb 2020
Nested Barycentric Coordinate System as an Explicit Feature Map
International Conference on Artificial Intelligence and Statistics (AISTATS), 2020
Lee-Ad Gottlieb
Eran Kaufman
A. Kontorovich
Gabriel Nivasch
Ofir Pele
149
1
0
05 Feb 2020
Confidence intervals for multiple isotonic regression and other monotone models
Annals of Statistics (Ann. Stat.), 2020
Hang Deng
Q. Han
Cun-Hui Zhang
548
17
0
20 Jan 2020
Random concave functions
The Annals of Applied Probability (AAP), 2019
P. Baxendale
Ting-Kam Leonard Wong
259
3
0
30 Oct 2019
A Data Efficient and Feasible Level Set Method for Stochastic Convex Optimization with Expectation Constraints
Journal of machine learning research (JMLR), 2019
Qihang Lin
Selvaprabu Nadarajah
Negar Soheili
Tianbao Yang
347
14
0
07 Aug 2019
Max-Affine Regression: Provable, Tractable, and Near-Optimal Statistical Estimation
Avishek Ghosh
A. Pananjady
Adityanand Guntuboyina
Kannan Ramchandran
257
28
0
21 Jun 2019
Multivariate Distributionally Robust Convex Regression under Absolute Error Loss
Neural Information Processing Systems (NeurIPS), 2019
Jose H. Blanchet
Peter Glynn
Jun Yan
Zhengqing Zhou
351
34
0
29 May 2019
Concave regression: value-constrained estimation and likelihood ratio-based inference
Charles R. Doss
264
5
0
24 May 2018
Nonparametric Shape-restricted Regression
Adityanand Guntuboyina
B. Sen
400
78
0
17 Sep 2017
Semiparametric Efficiency in Convexity Constrained Single Index Model
Arun K. Kuchibhotla
Rohit Patra
B. Sen
643
5
0
01 Aug 2017
Variational Analysis of Constrained M-Estimators
Annals of Statistics (Ann. Stat.), 2017
Pratiksha Agrawal
R. Wets
359
16
0
26 Feb 2017
Adaptation in log-concave density estimation
Arlene K. H. Kim
Adityanand Guntuboyina
R. Samworth
246
46
0
03 Sep 2016
On Univariate Convex Regression
Promit Ghosal
B. Sen
397
19
0
15 Aug 2016
A penalized method for multivariate concave least squares with application to productivity analysis
Abolfazl Keshvari
110
8
0
11 Aug 2016
Multivariate convex regression: global risk bounds and adaptation
Q. Han
J. Wellner
231
50
0
25 Jan 2016
A Computational Framework for Multivariate Convex Regression and its Variants
Rahul Mazumder
Arkopal Choudhury
G. Iyengar
B. Sen
349
92
0
28 Sep 2015
On Degrees of Freedom of Projection Estimators with Applications to Multivariate Nonparametric Regression
Xi Chen
Qihang Lin
B. Sen
442
24
0
07 Sep 2015
Tail Analysis without Parametric Models: A Worst-case Perspective
Operational Research (OR), 2015
Henry Lam
Clementine Mottet
275
38
0
12 Jul 2015
Bracketing numbers of convex and
m
m
m
-monotone functions on polytopes
Journal of Approximation Theory (JAT), 2015
Charles R. Doss
384
1
0
29 May 2015
Approximation and Estimation of s-Concave Densities via Rényi Divergences
Q. Han
J. Wellner
801
37
0
02 May 2015
Faithful Variable Screening for High-Dimensional Convex Regression
Min Xu
Minhua Chen
John D. Lafferty
400
28
0
07 Nov 2014
Generalised additive and index models with shape constraints
Yining Chen
R. Samworth
275
86
0
10 Apr 2014
Shape-constrained Estimation of Value Functions
M. Mousavi
Peter Glynn
177
2
0
26 Dec 2013
Global risk bounds and adaptation in univariate convex regression
Adityanand Guntuboyina
B. Sen
374
86
0
07 May 2013
Covering Numbers for Convex Functions
IEEE Transactions on Information Theory (IEEE Trans. Inf. Theory), 2012
Adityanand Guntuboyina
B. Sen
371
77
0
31 Mar 2012
Bayesian nonparametric multivariate convex regression
Lauren Hannah
David B. Dunson
275
25
0
01 Sep 2011
1
2
Next
Page 1 of 2
