1 citations · 2 across the 13 of their papers we have counts for
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Joint estimation of high-dimensional spiked covariance matrices via a partially shared subspace
Changwon Yoon, Minwoo Kim, Sungkyu Jung +1
Statistical analysis of high-dimensional data is often hampered by limited sample sizes, yet auxiliary datasets from related sources are often readily available. When two such data…
Enhancing Differentially Private Mechanisms via Empirical Bayes
Minwoo Kim, Junyong Park, Sungkyu Jung
Differential privacy (DP) has become the gold standard for ensuring the privacy protection of machine learning and statistical algorithms in recent decades. A plethora of algorithm…
FAST-DIPS: Adjoint-Free Analytic Steps and Hard-Constrained Likelihood Correction for Diffusion-Prior Inverse Problems
Minwoo Kim, Seunghyeok Shin, Hongki Lim
Training-free diffusion priors enable inverse-problem solvers without retraining, but for nonlinear forward operators data consistency often relies on repeated derivatives or inner…
A rigorous hybridization of variational quantum eigensolver with classical neural network
Minwoo James Kim, Kyoung Keun Park, Kyungmin Lee +2
Combining variational quantum process with classical neural learning offers a flexible route to improve ground-state estimation. We establish an integrated framework that connects…