Wasserstein Distributionally Robust Optimization and Variation Regularization

17 December 2017

Papers citing "Wasserstein Distributionally Robust Optimization and Variation Regularization"

34 / 34 papers shown

Title
Evaluating Model Performance Under Worst-case Subpopulations Mike Li Hongseok Namkoong Shangzhou Xia 48 17 0 01 Jul 2024
Diagnosing Model Performance Under Distribution Shift Tiffany Cai Hongseok Namkoong Steve Yadlowsky 37 28 0 03 Mar 2023
Distributionally Robust Multiclass Classification and Applications in Deep Image Classifiers Ruidi Chen Boran Hao I. Paschalidis 19 5 0 15 Oct 2022
MaskTune: Mitigating Spurious Correlations by Forcing to Explore Saeid Asgari Taghanaki Aliasghar Khani Fereshte Khani A. Gholami Linh-Tam Tran Ali Mahdavi-Amiri Ghassan Hamarneh AAML 46 45 0 30 Sep 2022
Learning Invariant Representations under General Interventions on the Response Kang Du Yu Xiang OOD 22 8 0 22 Aug 2022
$Distributionally Robust Bayesian Optimization with $\varphi$-divergences$ Distributionally Robust Bayesian Optimization with $\varphi$ -divergences Hisham Husain Vu-Linh Nguyen Anton Van Den Hengel 40 13 0 04 Mar 2022
Global-Local Regularization Via Distributional Robustness Hoang Phan Trung Le Trung-Nghia Phung Tu Bui Nhat Ho Dinh Q. Phung OOD 22 12 0 01 Mar 2022
Human Imperceptible Attacks and Applications to Improve Fairness Xinru Hua Huanzhong Xu Jose H. Blanchet V. Nguyen AAML 27 3 0 30 Nov 2021
Distributionally Robust Multi-Output Regression Ranking Shahabeddin Sotudian Ruidi Chen I. Paschalidis OOD 25 2 0 27 Sep 2021
Towards Out-Of-Distribution Generalization: A Survey Jiashuo Liu Zheyan Shen Yue He Xingxuan Zhang Renzhe Xu Han Yu Peng Cui CML OOD 61 519 0 31 Aug 2021
Distributionally Robust Learning Ruidi Chen I. Paschalidis OOD 27 65 0 20 Aug 2021
Unsupervised Learning of Debiased Representations with Pseudo-Attributes Seonguk Seo Joon-Young Lee Bohyung Han FaML 68 48 0 06 Aug 2021
Poisoning Attack against Estimating from Pairwise Comparisons Ke Ma Qianqian Xu Jinshan Zeng Xiaochun Cao Qingming Huang AAML 24 22 0 05 Jul 2021
Distributionally Robust Prescriptive Analytics with Wasserstein Distance Tianyu Wang Ningyuan Chen Chun Wang 15 6 0 10 Jun 2021
Learning quantum data with the quantum Earth Mover's distance B. Kiani Giacomo De Palma M. Marvian Zi-Wen Liu S. Lloyd 21 45 0 08 Jan 2021
Unbiased Gradient Estimation for Distributionally Robust Learning Soumyadip Ghosh M. Squillante OOD 26 7 0 22 Dec 2020
Adversarial Classification: Necessary conditions and geometric flows Nicolas García Trillos Ryan W. Murray AAML 37 19 0 21 Nov 2020
Statistical Inference for Maximin Effects: Identifying Stable Associations across Multiple Studies Zijian Guo 28 17 0 15 Nov 2020
Domain adaptation under structural causal models Yuansi Chen Peter Buhlmann CML OOD AI4CE 36 38 0 29 Oct 2020
Distributionally Robust Losses for Latent Covariate Mixtures John C. Duchi Tatsunori Hashimoto Hongseok Namkoong 18 79 0 28 Jul 2020
Robust Machine Learning via Privacy/Rate-Distortion Theory Ye Wang Shuchin Aeron Adnan Siraj Rakin T. Koike-Akino P. Moulin OOD 22 6 0 22 Jul 2020
A Distributionally Robust Approach to Fair Classification Bahar Taşkesen Viet Anh Nguyen Daniel Kuhn Jose H. Blanchet FaML 28 61 0 18 Jul 2020
Robust Grouped Variable Selection Using Distributionally Robust Optimization Ruidi Chen I. Paschalidis OOD 15 3 0 10 Jun 2020
A Stochastic Subgradient Method for Distributionally Robust Non-Convex Learning Mert Gurbuzbalaban A. Ruszczynski Landi Zhu 26 9 0 08 Jun 2020
Distributionally Robust Weighted $k$ -Nearest Neighbors Shixiang Zhu Liyan Xie Minghe Zhang Rui Gao Yao Xie OOD 21 7 0 07 Jun 2020
Principled learning method for Wasserstein distributionally robust optimization with local perturbations Yongchan Kwon Wonyoung Hedge Kim Joong-Ho Won M. Paik 22 12 0 05 Jun 2020
Distributionally Robust Bayesian Optimization Johannes Kirschner Ilija Bogunovic Stefanie Jegelka Andreas Krause 32 77 0 20 Feb 2020
A First-Order Algorithmic Framework for Wasserstein Distributionally Robust Logistic Regression Jiajin Li Sen Huang Anthony Man-Cho So OOD 32 12 0 28 Oct 2019
Wasserstein Distributionally Robust Optimization: Theory and Applications in Machine Learning Daniel Kuhn Peyman Mohajerin Esfahani Viet Anh Nguyen Soroosh Shafieezadeh-Abadeh OOD 25 389 0 23 Aug 2019
Confidence Regions in Wasserstein Distributionally Robust Estimation Jose H. Blanchet Karthyek Murthy Nian Si OOD 26 57 0 04 Jun 2019
Distributionally Robust Inverse Covariance Estimation: The Wasserstein Shrinkage Estimator Viet Anh Nguyen Daniel Kuhn Peyman Mohajerin Esfahani 46 49 0 18 May 2018
Robust GANs against Dishonest Adversaries Zhi Xu Chengtao Li Stefanie Jegelka AAML 34 3 0 27 Feb 2018
Calibration of Distributionally Robust Empirical Optimization Models Jun-ya Gotoh M. J. Kim Andrew E. B. Lim 21 41 0 17 Nov 2017
Certifying Some Distributional Robustness with Principled Adversarial Training Aman Sinha Hongseok Namkoong Riccardo Volpi John C. Duchi OOD 58 855 0 29 Oct 2017