Yinyu Ye

Venues

Frequent coauthors

Papers

1. Adam-mini: Use Fewer Learning Rates To Gain More
   ICLR 2025 ·

   Yushun Zhang

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2. Gradient Methods with Online Scaling
   COLT 2025 ·

   Wenzhi Gao

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3. Provable and Practical Online Learning Rate Adaptation with Hypergradient Descent
   ICML 2025 ·

   Ya-Chi Chu

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4. Solver-Informed RL: Grounding Large Language Models for Authentic Optimization Modeling
   NeurIPS 2025 ·

   Yitian Chen

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5. Wait-Less Offline Tuning and Re-solving for Online Decision Making
   ICML 2025 ·

   Jingruo Sun

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6. A Homogenization Approach for Gradient-Dominated Stochastic Optimization
   UAI 2024 ·

   Jiyuan Tan

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7. A Single-Loop Robust Policy Gradient Method for Robust Markov Decision Processes
   ICML 2024 ·

   Zhenwei Lin

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8. Achieving Õ(1/ε) Sample Complexity for Constrained Markov Decision Process
   NeurIPS 2024 ·

   Jiashuo Jiang

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9. Decoupling Learning and Decision-Making: Breaking the O(T) Barrier in Online Resource Allocation with First-Order Methods
   ICML 2024 ·

   Wenzhi Gao

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10. Learning to Pivot as a Smart Expert
    AAAI 2024 ·

    Tianhao Liu

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11. Sketched Newton Value Iteration for Large-Scale Markov Decision Processes
    AAAI 2024 ·

    Jinsong Liu

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12. Trust Region Methods for Nonconvex Stochastic Optimization beyond Lipschitz Smoothness
    AAAI 2024 ·

    Chenghan Xie

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