Ryumei Nakada

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 11

Top Topics

Expected Values

Statistical Inference

Intrinsic Dimensionality

Top Venues

J. Mach. Learn. Res.

J. Multivar. Anal.

Publications

Tianxi Cai, Feiqing Huang, Ryumei Nakada, Linjun Zhang, Doudou Zhou
Contrastive Learning on Multimodal Analysis of Electronic Health Records. CoRR (2024)
Zhe Zhang, Ryumei Nakada, Linjun Zhang
Differentially Private Federated Learning: Servers Trustworthiness, Estimation, and Statistical Inference. CoRR (2024)
Ryumei Nakada, Yichen Xu, Lexin Li, Linjun Zhang
Synthetic Oversampling: Theory and A Practical Approach Using LLMs to Address Data Imbalance. CoRR (2024)
Ryumei Nakada, Halil Ibrahim Gulluk, Zhun Deng, Wenlong Ji, James Zou, Linjun Zhang
Understanding Multimodal Contrastive Learning and Incorporating Unpaired Data. AISTATS (2023)
Alyssa Huang, Peihan Liu, Ryumei Nakada, Linjun Zhang, Wanrong Zhang
Safeguarding Data in Multimodal AI: A Differentially Private Approach to CLIP Training. CoRR (2023)
Ryumei Nakada, Halil Ibrahim Gulluk, Zhun Deng, Wenlong Ji, James Zou, Linjun Zhang
Understanding Multimodal Contrastive Learning and Incorporating Unpaired Data. CoRR (2023)
Wenlong Ji, Zhun Deng, Ryumei Nakada, James Zou, Linjun Zhang
The Power of Contrast for Feature Learning: A Theoretical Analysis. CoRR (2021)
Ryumei Nakada, Masaaki Imaizumi
Asymptotic Risk of Overparameterized Likelihood Models: Double Descent Theory for Deep Neural Networks. CoRR (2021)
Ryumei Nakada, Tatsuya Kubokawa, Malay Ghosh, Sayar Karmakar
Shrinkage estimation with singular priors and an application to small area estimation. J. Multivar. Anal. 183 (2021)
Ryumei Nakada, Masaaki Imaizumi
Adaptive Approximation and Generalization of Deep Neural Network with Intrinsic Dimensionality. J. Mach. Learn. Res. 21 (2020)
Ryumei Nakada, Masaaki Imaizumi
Adaptive Approximation and Estimation of Deep Neural Network to Intrinsic Dimensionality. CoRR (2019)