Generative Parameter Sampler For Scalable Uncertainty Quantification. - Minsuk Shin; Young Lee; Jun S. Liu (CoRR, 2019)

Neural Bootstrapper. - Minsuk Shin; Hyungjoo Cho; Sungbin Lim (CoRR, 2020)

Neural Bootstrapper. - Minsuk Shin; Hyungjoo Cho; Hyun-seok Min; Sungbin Lim (NeurIPS, 2021)

Bayesian Shrinkage for Functional Network Models, With Applications to Longitudinal Item Response Data. - Jaewoo Park; Yeseul Jeon; Minsuk Shin; Minjeong Jeon; Ick-Hoon Jin (J. Comput. Graph. Stat., 2022)

Generative Multi-Purpose Sampler for Weighted M-estimation. - Minsuk Shin; Shijie Wang; Jun S. Liu (J. Comput. Graph. Stat., 2024)

Generative Quantile Regression with Variability Penalty. - Shijie Wang; Minsuk Shin; Ray Bai (J. Comput. Graph. Stat., 2024)

Fast Bootstrapping Nonparametric Maximum Likelihood for Latent Mixture Models. - Shijie Wang; Minsuk Shin; Ray Bai (IEEE Signal Process. Lett., 2024)