{"total":18,"rows":[{"id":"2311.05573","title":"Outlier-Robust Wasserstein DRO","created":"2023-11-09","cited_by_count":16,"area":null},{"id":"2308.05414","title":"Unifying Distributionally Robust Optimization via Optimal Transport Theory","created":"2023-08-10","cited_by_count":13,"area":null},{"id":"2502.14105","title":"Conformal Prediction under Levy-Prokhorov Distribution Shifts: Robustness to Local and Global Perturbations","created":"2025-02-19","cited_by_count":12,"area":null},{"id":"2303.02251","title":"Certified Robust Neural Networks: Generalization and Corruption Resistance","created":"2023-03-03","cited_by_count":11,"area":null},{"id":"2402.17729","title":"Towards Fairness-Aware Adversarial Learning","created":"2024-02-27","cited_by_count":11,"area":null},{"id":"2406.00588","title":"Generalization Bound and New Algorithm for Clean-Label Backdoor Attack","created":"2024-06-02","cited_by_count":11,"area":null},{"id":"2306.14041","title":"Smoothed $f$-Divergence Distributionally Robust Optimization","created":"2023-06-24","cited_by_count":7,"area":null},{"id":"2311.05054","title":"Geometry-Calibrated DRO: Combating Over-Pessimism with Free Energy Implications","created":"2023-11-08","cited_by_count":5,"area":null},{"id":"2406.06509","title":"Robust Distribution Learning with Local and Global Adversarial Corruptions","created":"2024-06-10","cited_by_count":5,"area":null},{"id":"2505.23565","title":"DRO: A Python Library for Distributionally Robust Optimization in Machine Learning","created":"2025-05-29","cited_by_count":5,"area":null},{"id":"2406.02426","title":"Contextual Optimization under Covariate Shift: A Robust Approach by Intersecting Wasserstein Balls","created":"2024-06-04","cited_by_count":4,"area":null},{"id":"2304.04308","title":"Ensemble Modeling for Time Series Forecasting: an Adaptive Robust Optimization Approach","created":"2023-04-09","cited_by_count":2,"area":null},{"id":"2310.18832","title":"Responsible AI (RAI) Games and Ensembles","created":"2023-10-28","cited_by_count":1,"area":null},{"id":"2410.14008","title":"From Distributional Robustness to Robust Statistics: A Confidence Sets Perspective","created":"2024-10-17","cited_by_count":1,"area":null},{"id":"2507.10718","title":"Distributionally Robust Optimization with Adversarial Data Contamination","created":"2025-07-14","cited_by_count":1,"area":null},{"id":"2407.13625","title":"Distributionally and Adversarially Robust Logistic Regression via Intersecting Wasserstein Balls","created":"2024-07-18","cited_by_count":0,"area":null},{"id":"2503.04315","title":"Provable Robust Overfitting Mitigation in Wasserstein Distributionally Robust Optimization","created":"2025-03-06","cited_by_count":0,"area":null},{"id":"2610.07162","title":"Adversarial Training for Deep Hedging in Nonstationary Markets","created":"2026-10-05","cited_by_count":0,"area":null}],"next_cursor":null}