Minshuo Chen

1. AdaLoRA: Adaptive Budget Allocation for Parameter-Efficient Fine-Tuning
   2023/03/18 by Qingru Zhang, Minshuo Chen, Zhang, Qingru +12 · 105 citations
   Computer Science · #Computation and Language (cs.CL) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Multimodal Machine Learning Applications #Natural Language Processing Techniques #Topic Modeling
2. Score Approximation, Estimation and Distribution Recovery of Diffusion Models on Low-Dimensional Data
   2023/02/14 by Minshuo Chen, Chen, Minshuo, Kaixuan Huang +5 · 25 citations
   Medicine · Physics and Astronomy · Computer Science · #Advanced Neuroimaging Techniques and Applications #Model Reduction and Neural Networks #Advanced Mathematical Modeling in Engineering
3. Unveil Conditional Diffusion Models with Classifier-free Guidance: A Sharp Statistical Theory
   2024/03/18 by Hengyu Fu, Fu, Hengyu, Zhuoran Yang +5 · 11 citations
   Physics and Astronomy · #FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Statistical Mechanics and Entropy #Statistics Theory (math.ST)
4. An Overview of Diffusion Models: Applications, Guided Generation, Statistical Rates and Optimization
   2024/04/11 by Minshuo Chen, Chen, Minshuo, Mei Song +5 · 9 citations
   Mathematics · Biochemistry, Genetics and Molecular Biology · #Fractional Differential Equations Solutions #Diffusion and Search Dynamics
5. Nonparametric Regression on Low-Dimensional Manifolds using Deep ReLU\n Networks : Function Approximation and Statistical Recovery
   2019/08/05 by Minshuo Chen, Haoming Jiang, Chen, Minshuo +5 · 4 citations
   Computer Science · Mathematics · #FOS: Computer and information sciences #Gaussian Processes and Bayesian Inference #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Neural Networks and Applications #Statistical Methods and Inference
6. Dimensionality Reduction for Stationary Time Series via Stochastic Nonconvex Optimization
   2018/03/06 by Minshuo Chen, Lin F. Yang, Chen, Minshuo +5 · 2 citations
   Computer Science · Engineering · Mathematics · #FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Optimization and Control (math.OC) #Random Matrices and Applications #Sparse and Compressive Sensing Techniques #Stochastic Gradient Optimization Techniques
7. Residual Network Based Direct Synthesis of EM Structures: A Study on One-to-One Transformers
   2020/08/25 by David Munzer, Siawpeng Er, Munzer, David +11 · 2 citations
   Engineering · Computer Science · #Microwave Engineering and Waveguides #VLSI and FPGA Design Techniques #Evolutionary Algorithms and Applications
8. On Scalable and Efficient Computation of Large Scale Optimal Transport
   2019/05/01 by Yujia Xie, Xie, Yujia, Minshuo Chen +7 · 2 citations
   Computer Science · Physics and Astronomy · #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Model Reduction and Neural Networks #Stochastic Gradient Optimization Techniques
9. On Statistical Rates of Conditional Diffusion Transformers: Approximation, Estimation and Minimax Optimality
   2024/11/26 by Jerry Yao-Chieh Hu, Weimin Wu, Hu, Jerry Yao-Chieh +9 · 4 citations
   Computer Science · Physics and Astronomy · #Artificial Intelligence (cs.AI) #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Neural Networks and Applications #Statistical Mechanics and Entropy
10. How Important is the Train-Validation Split in Meta-Learning?
    2020/10/12 by Yu Bai, Bai, Yu, Minshuo Chen +13 · 2 citations
    Computer Science · Engineering · #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and Data Classification #Sparse and Compressive Sensing Techniques
11. On Computation and Generalization of Generative Adversarial Imitation Learning
    2020/01/09 by Minshuo Chen, Chen, Minshuo, Yizhou Wang +11 · 1 citation
    Computer Science · #Reinforcement Learning in Robotics #Machine Learning and Algorithms #Adversarial Robustness in Machine Learning
12. Super Tickets in Pre-Trained Language Models: From Model Compression to Improving Generalization
    2021/05/25 by Liang Chen, Simiao Zuo, Liang, Chen +13 · 1 citation
    Computer Science · #Computation and Language (cs.CL) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Multimodal Machine Learning Applications #Natural Language Processing Techniques #Topic Modeling
13. A Manifold Two-Sample Test Study: Integral Probability Metric with Neural Networks
    2022/05/04 by Jie Wang, Wang, Jie, Minshuo Chen +7 · 1 citation
    Mathematics · #Advanced Statistical Methods and Models #FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Statistical Methods and Bayesian Inference #Statistical Methods and Inference #Statistics Theory (math.ST)
14. Diffusion Factor Models: Generating High-Dimensional Returns with Factor Structure
    2025/04/09 by Minshuo Chen, Renyuan Xu, Chen, Minshuo +5 · 4 citations
    Economics, Econometrics and Finance · Mathematics · Computer Science · #Stochastic processes and financial applications #Tensor decomposition and applications #Stochastic Gradient Optimization Techniques