Minshuo Chen
Georgia Institute of Technology
H-index: 16
North America-United States
Top articles of Minshuo Chen
Title | Journal | Author(s) | Publication Date |
|---|---|---|---|
Diffusion Model for Data-Driven Black-Box Optimization | arXiv preprint arXiv:2403.13219 | Zihao Li Hui Yuan Kaixuan Huang Chengzhuo Ni Yinyu Ye | 2024/3/20 |
Unveil Conditional Diffusion Models with Classifier-free Guidance: A Sharp Statistical Theory | arXiv preprint arXiv:2403.11968 | Hengyu Fu Zhuoran Yang Mengdi Wang Minshuo Chen | 2024/3/18 |
Gradient Guidance for Diffusion Models: An Optimization Perspective | arXiv preprint arXiv:2404.14743 | Yingqing Guo Hui Yuan Yukang Yang Minshuo Chen Mengdi Wang | 2024/4/23 |
Theoretical insights for diffusion guidance: A case study for gaussian mixture models | arXiv preprint arXiv:2403.01639 | Yuchen Wu Minshuo Chen Zihao Li Mengdi Wang Yuting Wei | 2024/3/3 |
Policy Evaluation for Reinforcement Learning from Human Feedback: A Sample Complexity Analysis | Zihao Li Xiang Ji Minshuo Chen Mengdi Wang | 2024/4/18 | |
Efficient rl with impaired observability: Learning to act with delayed and missing state observations | Advances in Neural Information Processing Systems | Minshuo Chen Yu Bai H Vincent Poor Mengdi Wang | 2024/2/13 |
An overview of diffusion models: Applications, guided generation, statistical rates and optimization | Minshuo Chen Song Mei Jianqing Fan Mengdi Wang | 2024/4/11 | |
Deep nonparametric estimation of operators between infinite dimensional spaces | Journal of Machine Learning Research | Hao Liu Haizhao Yang Minshuo Chen Tuo Zhao Wenjing Liao | 2024 |
Nonparametric Classification on Low Dimensional Manifolds using Overparameterized Convolutional Residual Networks | arXiv preprint arXiv:2307.01649 | Kaiqi Zhang Zixuan Zhang Minshuo Chen Mengdi Wang Tuo Zhao | 2023/7/4 |
High dimensional binary classification under label shift: phase transition and regularization | Sampling Theory, Signal Processing, and Data Analysis | Jiahui Cheng Minshuo Chen Hao Liu Tuo Zhao Wenjing Liao | 2023/12 |
Effective minkowski dimension of deep nonparametric regression: function approximation and statistical theories | Zixuan Zhang Minshuo Chen Mengdi Wang Wenjing Liao Tuo Zhao | 2023/7/3 | |
Sample Complexity of Neural Policy Mirror Descent for Policy Optimization on Low-Dimensional Manifolds | arXiv preprint arXiv:2309.13915 | Zhenghao Xu Xiang Ji Minshuo Chen Mengdi Wang Tuo Zhao | 2023/9/25 |
Score approximation, estimation and distribution recovery of diffusion models on low-dimensional data | Minshuo Chen Kaixuan Huang Tuo Zhao Mengdi Wang | 2023/7/3 | |
A manifold two-sample test study: integral probability metric with neural networks | Information and Inference: A Journal of the IMA | Jie Wang Minshuo Chen Tuo Zhao Wenjing Liao Yao Xie | 2023/9 |
Counterfactual Generative Models for Time-Varying Treatments | arXiv preprint arXiv:2305.15742 | Shenghao Wu Wenbin Zhou Minshuo Chen Shixiang Zhu | 2023/5/25 |
Provable benefits of policy learning from human preferences in contextual bandit problems | arXiv preprint arXiv:2307.12975 | Xiang Ji Huazheng Wang Minshuo Chen Tuo Zhao Mengdi Wang | 2023/7/24 |
Sample-Efficient Learning of POMDPs with Multiple Observations In Hindsight | arXiv preprint arXiv:2307.02884 | Jiacheng Guo Minshuo Chen Huan Wang Caiming Xiong Mengdi Wang | 2023/7/6 |
Adaptive Budget Allocation for Parameter-Efficient Fine-Tuning | Qingru Zhang Minshuo Chen Alexander Bukharin Pengcheng He Yu Cheng | 2023 | |
Nonparametric regression on low-dimensional manifolds using deep ReLU networks: Function approximation and statistical recovery | Information and Inference: A Journal of the IMA | Minshuo Chen Haoming Jiang Wenjing Liao Tuo Zhao | 2022/12 |
Representation and statistical properties of deep neural networks on structured data | Minshuo Chen | 2022/7/20 |
