Ryumei Nakada

According to our database, Ryumei Nakada authored at least 8 papers between 2019 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Contrastive Learning on Multimodal Analysis of Electronic Health Records.

Tianxi Cai, Feiqing Huang, Ryumei Nakada, Linjun Zhang, Doudou Zhou

CoRR, 2024

2023

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

Alyssa Huang, Peihan Liu, Ryumei Nakada, Linjun Zhang, Wanrong Zhang

CoRR, 2023

Understanding Multimodal Contrastive Learning and Incorporating Unpaired Data.

Ryumei Nakada, Halil Ibrahim Gulluk, Zhun Deng, Wenlong Ji, James Zou, Linjun Zhang

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

2021

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

Ryumei Nakada, Tatsuya Kubokawa, Malay Ghosh, Sayar Karmakar

J. Multivar. Anal., 2021

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

Wenlong Ji, Zhun Deng, Ryumei Nakada, James Zou, Linjun Zhang

CoRR, 2021

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

Ryumei Nakada, Masaaki Imaizumi

CoRR, 2021

2020

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

Ryumei Nakada, Masaaki Imaizumi

J. Mach. Learn. Res., 2020

2019

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

Ryumei Nakada, Masaaki Imaizumi

CoRR, 2019