Jae Kwang Kim

According to our database, Jae Kwang Kim authored at least 7 papers between 2020 and 2026.

Collaborative distances:

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

2026

MEC: Machine-Learning-Assisted Generalized Entropy Calibration for Semi-Supervised Mean Estimation.

Se Yoon Lee, Jae Kwang Kim

CoRR, April, 2026

Semiparametric imputation using latent sparse conditional Gaussian mixtures for multivariate mixed outcomes.

Shonosuke Sugasawa, Jae Kwang Kim, Kosuke Morikawa

J. Multivar. Anal., 2026

2023

Ultra Data-Oriented Parallel Fractional Hot-Deck Imputation With Efficient Linearized Variance Estimation.

Yicheng Yang, Yonghyun Kwon, Jae Kwang Kim, In Ho Cho

IEEE Trans. Knowl. Data Eng., September, 2023

2022

Incomplete datasets for UP-FHDI.

Yicheng Yang, Jae Kwang Kim, In Ho Cho

Dataset, August, 2022

Parallel Fractional Hot-Deck Imputation and Variance Estimation for Big Incomplete Data Curing.

Yicheng Yang, Jae Kwang Kim, In Ho Cho

IEEE Trans. Knowl. Data Eng., 2022

Maximum sampled conditional likelihood for informative subsampling.

HaiYing Wang, Jae Kwang Kim

J. Mach. Learn. Res., 2022

2020

Imputation estimators for unnormalized models with missing data.

Masatoshi Uehara, Takeru Matsuda, Jae Kwang Kim

Proceedings of the 23rd International Conference on Artificial Intelligence and Statistics, 2020