Imputation estimators for unnormalized models with missing data. - Masatoshi Uehara; Takeru Matsuda; Jae Kwang Kim (AISTATS, 2020)

Maximum sampled conditional likelihood for informative subsampling. - HaiYing Wang 004; Jae Kwang Kim (J. Mach. Learn. Res., 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)

Incomplete datasets for UP-FHDI. - Yicheng Yang; Jae Kwang Kim; In Ho Cho (IEEE DataPort, 2022)

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., 2023)