A Computational Framework for Multivariate Convex Regression and its Variants

28 September 2015

Papers citing "A Computational Framework for Multivariate Convex Regression and its Variants"

9 / 9 papers shown

Title
pyStoNED: A Python Package for Convex Regression and Frontier Estimation Sheng Dai Yunzhe Fang Chia-Yen Lee Timo Kuosmanen 6 13 0 27 Sep 2021
Plugin Estimation of Smooth Optimal Transport Maps Tudor Manole Sivaraman Balakrishnan Jonathan Niles-Weed Larry A. Wasserman OT 30 92 0 26 Jul 2021
Handling Hard Affine SDP Shape Constraints in RKHSs Pierre-Cyril Aubin-Frankowski Z. Szabó 21 7 0 05 Jan 2021
Extensions to the Proximal Distance Method of Constrained Optimization Alfonso Landeros Oscar Hernan Madrid Padilla Hua Zhou K. Lange 22 9 0 02 Sep 2020
Hard Shape-Constrained Kernel Machines Pierre-Cyril Aubin-Frankowski Z. Szabó 28 22 0 26 May 2020
Subgradient Regularized Multivariate Convex Regression at Scale Wenyu Chen Rahul Mazumder 18 8 0 23 May 2020
Max-Affine Regression: Provable, Tractable, and Near-Optimal Statistical Estimation Avishek Ghosh A. Pananjady Adityanand Guntuboyina Kannan Ramchandran 25 25 0 21 Jun 2019
Adaptation in multivariate log-concave density estimation Oliver Y. Feng Adityanand Guntuboyina Arlene K. H. Kim R. Samworth 27 13 0 30 Dec 2018
Nonparametric Shape-restricted Regression Adityanand Guntuboyina B. Sen 19 69 0 17 Sep 2017