3 papers
stat.ME2026
Iterative Exploration-Driven Sparse SDP Clustering via Thompson Sampling
Jongmin Mun, Paromita Dubey, Yingying Fan
High-dimensional sparse clustering is a combinatorial NP-hard problem that arises from the coupling between cluster assignment and variable selection. We demonstrate that semidefin…
stat.ME2026
Hybrid Partial Least Squares Regression with Multiple Functional and Scalar Predictors
Jongmin Mun, Jeong Hoon Jang
Motivated by renal imaging studies that combine renogram curves with pharmacokinetic and demographic covariates, we propose Hybrid partial least squares (Hybrid PLS) for simultaneo…
stat.ML2024
Minimax Optimal Two-Sample Testing under Local Differential Privacy
Jongmin Mun, Seungwoo Kwak, Ilmun Kim
We explore the trade-off between privacy and statistical utility in private two-sample testing under local differential privacy (LDP) for both multinomial and continuous data. We b…