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Ryumei Nakada
Ryumei Nakada
Verified email at stat.rutgers.edu - Homepage
Title
Cited by
Cited by
Year
Adaptive approximation and generalization of deep neural network with intrinsic dimensionality
R Nakada, M Imaizumi
Journal of Machine Learning Research 21 (174), 1-38, 2020
190*2020
The power of contrast for feature learning: A theoretical analysis
W Ji, Z Deng, R Nakada, J Zou, L Zhang
Journal of Machine Learning Research 24 (330), 1-78, 2023
382023
Understanding multimodal contrastive learning and incorporating unpaired data
R Nakada, HI Gulluk, Z Deng, W Ji, J Zou, L Zhang
International Conference on Artificial Intelligence and Statistics, 4348-4380, 2023
322023
Safeguarding data in multimodal ai: A differentially private approach to clip training
A Huang, P Liu, R Nakada, L Zhang, W Zhang
arXiv preprint arXiv:2306.08173, 2023
92023
Synthetic Oversampling: Theory and A Practical Approach Using LLMs to Address Data Imbalance
R Nakada, Y Xu, L Li, L Zhang
arXiv preprint arXiv:2406.03628, 2024
22024
SFT: Efficient, Scalable and Generalizable LLM Fine-tuning by Structured Sparsity
X Yang, J Leng, G Guo, J Zhao, R Nakada, L Zhang, H Yao, B Chen
arXiv preprint arXiv:2412.06289, 2024
12024
Contrastive Learning on Multimodal Analysis of Electronic Health Records
T Cai, F Huang, R Nakada, L Zhang, D Zhou
arXiv preprint arXiv:2403.14926, 2024
12024
Linear shrinkage estimation of the variance of a distribution with unknown mean
Y Ikeda, R Nakada, T Kubokawa, MS Srivastava
Communications in Statistics-Theory and Methods 50 (9), 2039-2047, 2021
12021
Asymptotic Risk of Overparameterized Likelihood Models: Double Descent Theory for Deep Neural Networks
R Nakada, M Imaizumi
arXiv preprint arXiv:2103.00500, 2021
12021
NEAT: Nonlinear Parameter-efficient Adaptation of Pre-trained Models
Y Zhong, H Jiang, L Li, R Nakada, T Liu, L Zhang, H Yao, H Wang
arXiv preprint arXiv:2410.01870, 2024
2024
Differentially Private Federated Learning: Servers Trustworthiness, Estimation, and Statistical Inference
Z Zhang, R Nakada, L Zhang
arXiv preprint arXiv:2404.16287, 2024
2024
Linear shrinkage estimation of high-dimensional means
Y Ikeda, R Nakada, T Kubokawa, MS Srivastava
Communications in Statistics-Theory and Methods 52 (13), 4444-4460, 2023
2023
Shrinkage estimation with singular priors and an application to small area estimation
R Nakada, T Kubokawa, M Ghosh, S Karmakar
Journal of Multivariate Analysis 183, 104726, 2021
2021
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Articles 1–13