2025 Poster "distributionally robust optimization" Papers

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An Effective Manifold-based Optimization Method for Distributionally Robust Classification

Jiawei Huang, Hu Ding

ICLR 2025poster

Distributionally Robust Performative Optimization

Zhuangzhuang Jia, Yijie Wang, Roy Dong et al.

NeurIPS 2025posterarXiv:2407.01344

Fuz-RL: A Fuzzy-Guided Robust Framework for Safe Reinforcement Learning under Uncertainty

Xu Wan, Chao Yang, Cheng Yang et al.

NeurIPS 2025poster

Group Distributionally Robust Dataset Distillation with Risk Minimization

Saeed Vahidian, Mingyu Wang, Jianyang Gu et al.

ICLR 2025posterarXiv:2402.04676
9
citations

Improved Diffusion-based Generative Model with Better Adversarial Robustness

Zekun Wang, Mingyang Yi, Shuchen Xue et al.

ICLR 2025posterarXiv:2502.17099
1
citations

Revisiting Large-Scale Non-convex Distributionally Robust Optimization

Qi Zhang, Yi Zhou, Simon Khan et al.

ICLR 2025poster
1
citations

Universal generalization guarantees for Wasserstein distributionally robust models

Tam Le, Jerome Malick

ICLR 2025posterarXiv:2402.11981
7
citations