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cs.LG2020
Neural Bootstrapper
Minsuk Shin, Hyungjoo Cho, Hyun-seok Min +1
Bootstrapping has been a primary tool for ensemble and uncertainty quantification in machine learning and statistics. However, due to its nature of multiple training and resampling…
cs.LG2019
Generative Parameter Sampler For Scalable Uncertainty Quantification
Minsuk Shin, Young Lee, Jun S. Liu
Uncertainty quantification has been a core of the statistical machine learning, but its computational bottleneck has been a serious challenge for both Bayesians and frequentists. W…