ICML 2024 "distributionally robust optimization" Papers
12 papers found
Criterion Collapse and Loss Distribution Control
Matthew J. Holland
ICML 2024posterarXiv:2402.09802
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
Efficient Algorithms for Empirical Group Distributionally Robust Optimization and Beyond
Dingzhi Yu, Yunuo Cai, Wei Jiang et al.
ICML 2024posterarXiv:2403.03562
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 2024posterarXiv:2311.05054
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 2024posterarXiv:2306.05937
Statistical Properties of Robust Satisficing
zhiyi li, Yunbei Xu, Ruohan Zhan
ICML 2024posterarXiv:2405.20451
The Role of Learning Algorithms in Collective Action
Omri Ben-Dov, Jake Fawkes, Samira Samadi et al.
ICML 2024posterarXiv:2405.06582
To Cool or not to Cool? Temperature Network Meets Large Foundation Models via DRO
Zi-Hao Qiu, Siqi Guo, Mao Xu et al.
ICML 2024posterarXiv:2404.04575