Poster "distributionally robust optimization" Papers
19 papers found
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
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
Criterion Collapse and Loss Distribution Control
Matthew J. Holland
ICML 2024poster
Differentiable Distributionally Robust Optimization Layers
Xutao Ma, Chao Ning, WenLi Du
ICML 2024posterarXiv:2406.16571
Distributionally Robust Data Valuation
Xiaoqiang Lin, Xinyi Xu, Zhaoxuan Wu et al.
ICML 2024poster
Distributionally Robust Loss for Long-Tailed Multi-Label Image Classification
Dekun Lin, Zhe Cui, Rui Chen et al.
ECCV 2024poster
10
citations
Efficient Algorithms for Empirical Group Distributionally Robust Optimization and Beyond
Dingzhi Yu, Yunuo Cai, Wei Jiang et al.
ICML 2024poster
Efficient Stochastic Approximation of Minimax Excess Risk Optimization
Lijun Zhang, Haomin Bai, Wei-Wei Tu et al.
ICML 2024posterarXiv:2306.00026
Geometry-Calibrated DRO: Combating Over-Pessimism with Free Energy Implications
Jiashuo Liu, Jiayun Wu, Tianyu Wang et al.
ICML 2024poster
Model-Free Robust $\phi$-Divergence Reinforcement Learning Using Both Offline and Online Data
Kishan Panaganti, Adam Wierman, Eric Mazumdar
ICML 2024poster
On the Convergence of Projected Bures-Wasserstein Gradient Descent under Euclidean Strong Convexity
Junyi FAN, Yuxuan Han, Zijian Liu et al.
ICML 2024poster
Robust Data-driven Prescriptiveness Optimization
Mehran Poursoltani, Erick Delage, Angelos Georghiou
ICML 2024poster
Statistical Properties of Robust Satisficing
zhiyi li, Yunbei Xu, Ruohan Zhan
ICML 2024poster
The Role of Learning Algorithms in Collective Action
Omri Ben-Dov, Jake Fawkes, Samira Samadi et al.
ICML 2024poster
To Cool or not to Cool? Temperature Network Meets Large Foundation Models via DRO
Zi-Hao Qiu, Siqi Guo, Mao Xu et al.
ICML 2024poster