Multivariate Distributionally Robust Convex Regression under Absolute
Error Loss

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Multivariate Distributionally Robust Convex Regression under Absolute Error Loss

29 May 2019

Jose H. Blanchet

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Papers citing "Multivariate Distributionally Robust Convex Regression under Absolute Error Loss"

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Title
Nonsmooth Nonconvex-Nonconcave Minimax Optimization: Primal-Dual Balancing and Iteration Complexity Analysis Jiajin Li Lingling Zhu Anthony Man-Cho So 139 5 0 17 Jan 2025
Nash Equilibria, Regularization and Computation in Optimal Transport-Based Distributionally Robust Optimization Soroosh Shafieezadeh-Abadeh Liviu Aolaritei Florian Dorfler Daniel Kuhn 146 21 0 07 Mar 2023
Distributionally Robust Multiclass Classification and Applications in Deep Image Classifiers Ruidi Chen Boran Hao I. Paschalidis 82 6 0 15 Oct 2022
$A Sharper Computational Tool for $\text{L}_2\text{E}$ Regression$ A Sharper Computational Tool for $\text{L}_2\text{E}$ Regression Xiaoqian Liu Eric C. Chi K. Lange 44 3 0 06 Mar 2022
Distributionally Robust Multi-Output Regression Ranking Shahabeddin Sotudian Ruidi Chen I. Paschalidis OOD 51 2 0 27 Sep 2021
Sinkhorn Distributionally Robust Optimization Jie Wang Rui Gao Yao Xie 143 40 0 24 Sep 2021
Distributionally Robust Learning Ruidi Chen I. Paschalidis OOD 88 69 0 20 Aug 2021
Statistical Analysis of Wasserstein Distributionally Robust Estimators Jose H. Blanchet Karthyek Murthy Viet Anh Nguyen 64 48 0 04 Aug 2021
OpReg-Boost: Learning to Accelerate Online Algorithms with Operator Regression Nicola Bastianello Andrea Simonetto E. Dall’Anese 53 3 0 27 May 2021
Finite-Sample Guarantees for Wasserstein Distributionally Robust Optimization: Breaking the Curse of Dimensionality Rui Gao 72 94 0 09 Sep 2020
Robustified Multivariate Regression and Classification Using Distributionally Robust Optimization under the Wasserstein Metric Ruidi Chen I. Paschalidis OOD 44 4 0 10 Jun 2020