Holistic Robust Data-Driven Decisions

Holistic Robust Data-Driven Decisions

19 July 2022

Bart P. G. Van Parys

Ryan Lucas

Papers citing "Holistic Robust Data-Driven Decisions"

15 / 15 papers shown

Title
Provable Robust Overfitting Mitigation in Wasserstein Distributionally Robust Optimization Shuang Liu Yihan Wang Yifan Zhu Yibo Miao Xiao-Shan Gao 61 0 0 06 Mar 2025
Beyond IID: data-driven decision-making in heterogeneous environments Omar Besbes Will Ma Omar Mouchtaki 42 7 0 03 Jan 2025
Distributionally and Adversarially Robust Logistic Regression via Intersecting Wasserstein Balls Aras Selvi Eleonora Kreacic Mohsen Ghassemi Vamsi K. Potluru T. Balch Manuela Veloso 29 0 0 18 Jul 2024
Robust Distribution Learning with Local and Global Adversarial Corruptions Sloan Nietert Ziv Goldfeld Soroosh Shafiee OOD 28 0 0 10 Jun 2024
Generalization Bound and New Algorithm for Clean-Label Backdoor Attack Lijia Yu Shuang Liu Yibo Miao Xiao-Shan Gao Lijun Zhang AAML 34 5 0 02 Jun 2024
Towards Fairness-Aware Adversarial Learning Yanghao Zhang Tianle Zhang Ronghui Mu Xiaowei Huang Wenjie Ruan 29 4 0 27 Feb 2024
Outlier-Robust Wasserstein DRO Sloan Nietert Ziv Goldfeld Soroosh Shafiee 34 9 0 09 Nov 2023
Geometry-Calibrated DRO: Combating Over-Pessimism with Free Energy Implications Jiashuo Liu Jiayun Wu Tianyu Wang Hao Zou Bo-wen Li Peng Cui 11 2 0 08 Nov 2023
Responsible AI (RAI) Games and Ensembles Yash Gupta Runtian Zhai A. Suggala Pradeep Ravikumar 18 0 0 28 Oct 2023
Unifying Distributionally Robust Optimization via Optimal Transport Theory Jose H. Blanchet Daniel Kuhn Jiajin Li Bahar Taşkesen OT 21 12 0 10 Aug 2023
Smoothed $f$ -Divergence Distributionally Robust Optimization Zhen-Yan Liu Bart P. G. Van Parys H. Lam 11 6 0 24 Jun 2023
Ensemble Modeling for Time Series Forecasting: an Adaptive Robust Optimization Approach Dimitris Bertsimas L. Boussioux AI4TS 30 4 0 09 Apr 2023
Certified Robust Neural Networks: Generalization and Corruption Resistance Amine Bennouna Ryan Lucas Bart P. G. Van Parys 35 10 0 03 Mar 2023
Distributionally-Robust Optimization with Noisy Data for Discrete Uncertainties Using Total Variation Distance F. Farokhi 16 12 0 15 Feb 2023
SMOTE: Synthetic Minority Over-sampling Technique Nitesh V. Chawla Kevin W. Bowyer Lawrence Hall W. Kegelmeyer AI4TS 163 25,247 0 09 Jun 2011