11 papers
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…
Robust and Differentially Private Principal Component Analysis
Minwoo Kim, Sungkyu Jung
Recent advances have sparked significant interest in the development of privacy-preserving Principal Component Analysis (PCA). However, many existing approaches rely on restrictive…
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 scalable quantum-neural hybrid variational algorithm for ground state estimation
Minwoo Kim, Kyoung Keun Park, Uihwan Jeong +2
We propose the unitary variational quantum-neural hybrid eigensolver (U-VQNHE), which improves upon the original VQNHE by enforcing unitary neural transformations. The non-unitary…
MPCR: Multi-Precision Computations Package in R
Mary Lai O. Salvana, Sameh Abdulah, Minwoo Kim +3
In the early days of computing, severe memory constraints made it necessary to use lower floating-point precision. As hardware capabilities have advanced, modern systems, particula…