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Multivariate convex regression: global risk bounds and adaptation

Multivariate convex regression: global risk bounds and adaptation

25 January 2016
Q. Han
J. Wellner
ArXiv (abs)PDFHTML

Papers citing "Multivariate convex regression: global risk bounds and adaptation"

31 / 31 papers shown
Title
Max-affine regression via first-order methods
Max-affine regression via first-order methods
Seonho Kim
Kiryung Lee
59
3
0
15 Aug 2023
On the Variance, Admissibility, and Stability of Empirical Risk
  Minimization
On the Variance, Admissibility, and Stability of Empirical Risk Minimization
Gil Kur
E. Putterman
Alexander Rakhlin
57
3
0
29 May 2023
Finding Regularized Competitive Equilibria of Heterogeneous Agent
  Macroeconomic Models with Reinforcement Learning
Finding Regularized Competitive Equilibria of Heterogeneous Agent Macroeconomic Models with Reinforcement Learning
Ruitu Xu
Yifei Min
Tianhao Wang
Zhaoran Wang
Michael I. Jordan
Zhuoran Yang
79
7
0
24 Feb 2023
Efficient Minimax Optimal Estimators For Multivariate Convex Regression
Efficient Minimax Optimal Estimators For Multivariate Convex Regression
Gil Kur
E. Putterman
54
0
0
06 May 2022
Noisy linear inverse problems under convex constraints: Exact risk
  asymptotics in high dimensions
Noisy linear inverse problems under convex constraints: Exact risk asymptotics in high dimensions
Q. Han
65
3
0
20 Jan 2022
Structural Sieves
Structural Sieves
Konrad Menzel
44
1
0
01 Dec 2021
Spectrahedral Regression
Spectrahedral Regression
Eliza O'Reilly
V. Chandrasekaran
20
3
0
27 Oct 2021
A new computational framework for log-concave density estimation
A new computational framework for log-concave density estimation
Wenyu Chen
Rahul Mazumder
R. Samworth
44
5
0
24 May 2021
On the Minimal Error of Empirical Risk Minimization
On the Minimal Error of Empirical Risk Minimization
Gil Kur
Alexander Rakhlin
42
5
0
24 Feb 2021
Handling Hard Affine SDP Shape Constraints in RKHSs
Handling Hard Affine SDP Shape Constraints in RKHSs
Pierre-Cyril Aubin-Frankowski
Z. Szabó
45
7
0
05 Jan 2021
Convex Regression in Multidimensions: Suboptimality of Least Squares
  Estimators
Convex Regression in Multidimensions: Suboptimality of Least Squares Estimators
Gil Kur
Fuchang Gao
Adityanand Guntuboyina
B. Sen
47
14
0
03 Jun 2020
Hard Shape-Constrained Kernel Machines
Hard Shape-Constrained Kernel Machines
Pierre-Cyril Aubin-Frankowski
Z. Szabó
62
22
0
26 May 2020
Subgradient Regularized Multivariate Convex Regression at Scale
Subgradient Regularized Multivariate Convex Regression at Scale
Wenyu Chen
Rahul Mazumder
45
8
0
23 May 2020
Stratified incomplete local simplex tests for curvature of nonparametric
  multiple regression
Stratified incomplete local simplex tests for curvature of nonparametric multiple regression
Yanglei Song
Xiaohui Chen
Kengo Kato
85
2
0
20 Mar 2020
Least Squares Estimation of a Quasiconvex Regression Function
Least Squares Estimation of a Quasiconvex Regression Function
Somabha Mukherjee
Rohit Patra
Andrew L. Johnson
Hiroshi Morita
107
3
0
09 Mar 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
80
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
65
15
0
20 Jan 2020
A Projection Framework for Testing Shape Restrictions That Form Convex
  Cones
A Projection Framework for Testing Shape Restrictions That Form Convex Cones
Z. Fang
Juwon Seo
59
12
0
17 Oct 2019
Max-Affine Regression: Provable, Tractable, and Near-Optimal Statistical
  Estimation
Max-Affine Regression: Provable, Tractable, and Near-Optimal Statistical Estimation
Avishek Ghosh
A. Pananjady
Adityanand Guntuboyina
Kannan Ramchandran
68
26
0
21 Jun 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
76
31
0
29 May 2019
Estimating Piecewise Monotone Signals
Estimating Piecewise Monotone Signals
Kentaro Minami
43
10
0
06 May 2019
Optimality of Maximum Likelihood for Log-Concave Density Estimation and
  Bounded Convex Regression
Optimality of Maximum Likelihood for Log-Concave Density Estimation and Bounded Convex Regression
Gil Kur
Y. Dagan
Alexander Rakhlin
73
25
0
13 Mar 2019
Adaptation in multivariate log-concave density estimation
Adaptation in multivariate log-concave density estimation
Oliver Y. Feng
Adityanand Guntuboyina
Arlene K. H. Kim
R. Samworth
85
13
0
30 Dec 2018
Prediction Rule Reshaping
Prediction Rule Reshaping
Matt Bonakdarpour
S. Chatterjee
Rina Foygel Barber
John D. Lafferty
AI4TS
70
8
0
16 May 2018
Recent progress in log-concave density estimation
Recent progress in log-concave density estimation
R. Samworth
57
76
0
10 Sep 2017
Methods for Estimation of Convex Sets
Methods for Estimation of Convex Sets
Victor-Emmanuel Brunel
59
19
0
10 Sep 2017
On Estimation of Isotonic Piecewise Constant Signals
On Estimation of Isotonic Piecewise Constant Signals
Chao Gao
Fang Han
Cun-Hui Zhang
33
32
0
18 May 2017
Oracle posterior contraction rates under hierarchical priors
Oracle posterior contraction rates under hierarchical priors
Q. Han
48
6
0
25 Apr 2017
Least squares estimation in the monotone single index model
Least squares estimation in the monotone single index model
F. Balabdaoui
C. Durot
H. Jankowski
75
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
62
45
0
03 Sep 2016
On Degrees of Freedom of Projection Estimators with Applications to
  Multivariate Nonparametric Regression
On Degrees of Freedom of Projection Estimators with Applications to Multivariate Nonparametric Regression
Xi Chen
Qihang Lin
B. Sen
81
19
0
07 Sep 2015
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