Ye, Yinyu

26 publications

ICLR 2025 Adam-Mini: Use Fewer Learning Rates to Gain More Yushun Zhang, Congliang Chen, Ziniu Li, Tian Ding, Chenwei Wu, Diederik P Kingma, Yinyu Ye, Zhi-Quan Luo, Ruoyu Sun

COLT 2025 Gradient Methods with Online Scaling Wenzhi Gao, Ya-Chi Chu, Yinyu Ye, Madeleine Udell

ICML 2025 Provable and Practical Online Learning Rate Adaptation with Hypergradient Descent Ya-Chi Chu, Wenzhi Gao, Yinyu Ye, Madeleine Udell

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

ICML 2025 Wait-Less Offline Tuning and Re-Solving for Online Decision Making Jingruo Sun, Wenzhi Gao, Ellen Vitercik, Yinyu Ye

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

ICML 2024 A Single-Loop Robust Policy Gradient Method for Robust Markov Decision Processes Zhenwei Lin, Chenyu Xue, Qi Deng, Yinyu Ye

NeurIPS 2024 Achieving $\tilde{O}(1/\epsilon)$ Sample Complexity for Constrained Markov Decision Process Jiashuo Jiang, Yinyu Ye

ICMLW 2024 Adam-Mini: Use Fewer Learning Rates to Gain More Yushun Zhang, Congliang Chen, Ziniu Li, Tian Ding, Chenwei Wu, Yinyu Ye, Zhi-Quan Luo, Ruoyu Sun

ICML 2024 Decoupling Learning and Decision-Making: Breaking the $\mathcal{O}(\sqrt{T})$ Barrier in Online Resource Allocation with First-Order Methods Wenzhi Gao, Chunlin Sun, Chenyu Xue, 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

NeurIPSW 2022 Dimension-Reduced Adaptive Gradient Method Jingyang Li, Pan Zhou, Kuangyu Ding, Kim-Chuan Toh, Yinyu Ye

ICML 2021 The Symmetry Between Arms and Knapsacks: A Primal-Dual Approach for Bandits with Knapsacks Xiaocheng Li, Chunlin Sun, Yinyu Ye

NeurIPS 2020 Conic Descent and Its Application to Memory-Efficient Optimization over Positive Semidefinite Matrices John C. Duchi, Oliver Hinder, Andrew Naber, Yinyu Ye

NeurIPS 2020 Distributionally Robust Local Non-Parametric Conditional Estimation Viet Anh Nguyen, Fan Zhang, Jose Blanchet, Erick Delage, Yinyu Ye

NeurIPS 2020 Simple and Fast Algorithm for Binary Integer and Online Linear Programming Xiaocheng Li, Chunlin Sun, Yinyu Ye

AISTATS 2020 Solving Discounted Stochastic Two-Player Games with Near-Optimal Time and Sample Complexity Aaron Sidford, Mengdi Wang, Lin Yang, Yinyu Ye

JMLR 2019 Approximation Hardness for a Class of Sparse Optimization Problems Yichen Chen, Yinyu Ye, Mengdi Wang

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

ICML 2018 Distributed Asynchronous Optimization with Unbounded Delays: How Slow Can You Go? Zhengyuan Zhou, Panayotis Mertikopoulos, Nicholas Bambos, Peter Glynn, Yinyu Ye, Li-Jia Li, Li Fei-Fei

NeurIPS 2018 Learning in Games with Lossy Feedback Zhengyuan Zhou, Panayotis Mertikopoulos, Susan Athey, Nicholas Bambos, Peter W. Glynn, Yinyu Ye

NeurIPS 2018 Near-Optimal Time and Sample Complexities for Solving Markov Decision Processes with a Generative Model Aaron Sidford, Mengdi Wang, Xian Wu, Lin Yang, 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