Jae Kwang Kim

According to our database, Jae Kwang Kim authored at least 5 papers between 2020 and 2023.

Collaborative distances:

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

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