distributionally robust optimization

Outlier-Robust Distributionally Robust Optimization via Unbalanced Optimal Transport NeurIPS 2024 Out-Of-Domain Unlabeled Data Improves Generalization ICLR 2024 PSL: Rethinking and Improving Softmax Loss from Pairwise Perspective for Recommendation NeurIPS 2024 ReMix: Optimizing Data Mixtures for Large Scale Imitation Learning CoRL 2024 Robust Distribution Learning with Local and Global Adversarial Corruptions (extended abstract) COLT 2024 Semi-supervised Group DRO: Combating Sparsity with Unlabeled Data ALT 2024 Soft-Label Integration for Robust Toxicity Classification NeurIPS 2024 Stochastic Bayesian Optimization with Unknown Continuous Context Distribution via Kernel Density Estimation AAAI 2024 Temporally and Distributionally Robust Optimization for Cold-Start Recommendation AAAI 2024 The Impact of Differential Privacy on Group Disparity Mitigation NAACL 2024 Theoretical Investigations and Practical Enhancements on Tail Task Risk Minimization in Meta Learning NeurIPS 2024 The Role of Learning Algorithms in Collective Action ICML 2024 To Cool or not to Cool? Temperature Network Meets Large Foundation Models via DRO ICML 2024 Trust Region Methods for Nonconvex Stochastic Optimization beyond Lipschitz Smoothness AAAI 2024 Unveiling the Potential of Robustness in Selecting Conditional Average Treatment Effect Estimators NeurIPS 2024 Wasserstein Distributionally Robust Optimization through the Lens of Structural Causal Models and Individual Fairness NeurIPS 2024 Adaptively Weighted Data Augmentation Consistency Regularization for Robust Optimization under Concept Shift ICML 2023 AGRO: Adversarial discovery of error-prone Groups for Robust Optimization ICLR 2023 Anchor Data Augmentation NeurIPS 2023 Are Data-Driven Explanations Robust Against Out-of-Distribution Data? CVPR 2023 A Simple Yet Effective Strategy to Robustify the Meta Learning Paradigm NeurIPS 2023 Bitrate-Constrained DRO: Beyond Worst Case Robustness To Unknown Group Shifts ICLR 2023 Certified Robust Neural Networks: Generalization and Corruption Resistance ICML 2023 Contextual Stochastic Bilevel Optimization NeurIPS 2023 Distributionally Robust Bayesian Optimization with φ-divergences NeurIPS 2023