2 papers
stat.ML2019
Model Bridging: Connection between Simulation Model and Neural Network
Keiichi Kisamori, Keisuke Yamazaki, Yuto Komori +1
The interpretability of machine learning, particularly for deep neural networks, is crucial for decision making in real-world applications. One approach is replacing the un-interpr…
stat.ML2018
Simulator Calibration under Covariate Shift with Kernels
Keiichi Kisamori, Motonobu Kanagawa, Keisuke Yamazaki
We propose a novel calibration method for computer simulators, dealing with the problem of covariate shift. Covariate shift is the situation where input distributions for training…