Ge, Dongdong

8 publications

NeurIPS 2025 Solver-Informed RL: Grounding Large Language Models for Authentic Optimization Modeling Yitian Chen, Jingfan Xia, Siyu Shao, Dongdong Ge, Yinyu Ye

UAI 2024 A Homogenization Approach for Gradient-Dominated Stochastic Optimization Jiyuan Tan, Chenyu Xue, Chuwen Zhang, Qi Deng, Dongdong Ge, Yinyu Ye

AAAI 2024 Learning to Pivot as a Smart Expert Tianhao Liu, Shanwen Pu, Dongdong Ge, Yinyu Ye

AAAI 2024 Sketched Newton Value Iteration for Large-Scale Markov Decision Processes Jinsong Liu, Chenghan Xie, Qi Deng, Dongdong Ge, Yinyu Ye

AAAI 2024 Trust Region Methods for Nonconvex Stochastic Optimization Beyond Lipschitz Smoothness Chenghan Xie, Chenxi Li, Chuwen Zhang, Qi Deng, Dongdong Ge, Yinyu Ye

ICML 2023 Solving Linear Programs with Fast Online Learning Algorithms Wenzhi Gao, Dongdong Ge, Chunlin Sun, Yinyu Ye

NeurIPS 2019 Interior-Point Methods Strike Back: Solving the Wasserstein Barycenter Problem DongDong Ge, Haoyue Wang, Zikai Xiong, Yinyu Ye

ICML 2017 Strong NP-Hardness for Sparse Optimization with Concave Penalty Functions Yichen Chen, Dongdong Ge, Mengdi Wang, Zizhuo Wang, Yinyu Ye, Hao Yin