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"

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Title
Exploiting Concavity Information in Gaussian Process Contextual Bandit Optimization Kevin Li Eric Laber 88 0 0 13 Mar 2025
Estimating a Function and Its Derivatives Under a Smoothness Condition Eunji Lim 23 1 0 16 May 2024
Mixed Regression via Approximate Message Passing Nelvin Tan R. Venkataramanan 67 7 0 05 Apr 2023
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
Data-Driven Sample Average Approximation with Covariate Information R. Kannan G. Bayraksan James R. Luedtke 381 46 0 27 Jul 2022
Efficient Minimax Optimal Estimators For Multivariate Convex Regression Gil Kur E. Putterman 46 0 0 06 May 2022
Faster Algorithms for Learning Convex Functions Ali Siahkamari D. A. E. Acar Christopher Liao Kelly Geyer Venkatesh Saligrama Brian Kulis 40 4 0 02 Nov 2021
pyStoNED: A Python Package for Convex Regression and Frontier Estimation Sheng Dai Yunzhe Fang Chia-Yen Lee Timo Kuosmanen 15 14 0 27 Sep 2021
Plugin Estimation of Smooth Optimal Transport Maps Tudor Manole Sivaraman Balakrishnan Jonathan Niles-Weed Larry A. Wasserman OT 85 100 0 26 Jul 2021
OpReg-Boost: Learning to Accelerate Online Algorithms with Operator Regression Nicola Bastianello Andrea Simonetto E. Dall’Anese 53 3 0 27 May 2021
Convex Smoothed Autoencoder-Optimal Transport model Aratrika Mustafi GAN DRL 42 1 0 14 Jan 2021
Handling Hard Affine SDP Shape Constraints in RKHSs Pierre-Cyril Aubin-Frankowski Z. Szabó 40 7 0 05 Jan 2021
A User-Friendly Computational Framework for Robust Structured Regression with the L $_2$ Criterion Jocelyn T. Chi Eric C. Chi OffRL 41 5 0 08 Oct 2020
Extensions to the Proximal Distance Method of Constrained Optimization Alfonso Landeros Oscar Hernan Madrid Padilla Hua Zhou K. Lange 60 9 0 02 Sep 2020
Piecewise Linear Regression via a Difference of Convex Functions Ali Siahkamari Aditya Gangrade Brian Kulis Venkatesh Saligrama 50 15 0 05 Jul 2020
Convex Regression in Multidimensions: Suboptimality of Least Squares Estimators Gil Kur Fuchang Gao Adityanand Guntuboyina B. Sen 42 14 0 03 Jun 2020
Hard Shape-Constrained Kernel Machines Pierre-Cyril Aubin-Frankowski Z. Szabó 62 22 0 26 May 2020
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 Yanglei Song Xiaohui Chen Kengo Kato 64 2 0 20 Mar 2020
Efficient algorithms for multivariate shape-constrained convex regression problems Meixia Lin Defeng Sun Kim-Chuan Toh 22 7 0 26 Feb 2020
Max-Affine Regression: Provable, Tractable, and Near-Optimal Statistical Estimation Avishek Ghosh A. Pananjady Adityanand Guntuboyina Kannan Ramchandran 63 26 0 21 Jun 2019
Multivariate Distributionally Robust Convex Regression under Absolute Error Loss Jose H. Blanchet Peter Glynn Jun Yan Zhengqing Zhou 64 31 0 29 May 2019
Efficient Second-Order Shape-Constrained Function Fitting D. Durfee Yu Gao Anup B. Rao Sebastian Wild 10 1 0 06 May 2019
Adaptation in multivariate log-concave density estimation Oliver Y. Feng Adityanand Guntuboyina Arlene K. H. Kim R. Samworth 75 13 0 30 Dec 2018
Nonparametric Shape-restricted Regression Adityanand Guntuboyina B. Sen 91 70 0 17 Sep 2017