Ryumei Nakada

According to our database¹, Ryumei Nakada authored at least 11 papers between 2019 and 2024.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of four.

Timeline

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On csauthors.net:

Bibliography

2024

NEAT: Nonlinear Parameter-efficient Adaptation of Pre-trained Models.

[BibT_eX]

[DOI]

CoRR, 2024

Synthetic Oversampling: Theory and A Practical Approach Using LLMs to Address Data Imbalance.

[BibT_eX]

[DOI]

CoRR, 2024

Differentially Private Federated Learning: Servers Trustworthiness, Estimation, and Statistical Inference.

[BibT_eX]

[DOI]

Zhe Zhang

Ryumei Nakada

Linjun Zhang

CoRR, 2024

Contrastive Learning on Multimodal Analysis of Electronic Health Records.

[BibT_eX]

[DOI]

CoRR, 2024

2023

The Power of Contrast for Feature Learning: A Theoretical Analysis.

[BibT_eX]

[DOI]

J. Mach. Learn. Res., 2023

Safeguarding Data in Multimodal AI: A Differentially Private Approach to CLIP Training.

[BibT_eX]

[DOI]

CoRR, 2023

Understanding Multimodal Contrastive Learning and Incorporating Unpaired Data.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2023

2021

Shrinkage estimation with singular priors and an application to small area estimation.

[BibT_eX]

[DOI]

J. Multivar. Anal., 2021

Asymptotic Risk of Overparameterized Likelihood Models: Double Descent Theory for Deep Neural Networks.

[BibT_eX]

[DOI]

Ryumei Nakada

Masaaki Imaizumi

CoRR, 2021

2020

Adaptive Approximation and Generalization of Deep Neural Network with Intrinsic Dimensionality.

[BibT_eX]

[DOI]

Ryumei Nakada

Masaaki Imaizumi

J. Mach. Learn. Res., 2020

2019

Adaptive Approximation and Estimation of Deep Neural Network to Intrinsic Dimensionality.

[BibT_eX]

[DOI]

Ryumei Nakada

Masaaki Imaizumi

CoRR, 2019

Ryumei Nakada

Timeline

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Links

On csauthors.net:

Bibliography

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