Kazuya Nakagawa

Selective Inference for Sparse High-Order Interaction Models

Finding statistically significant high-order interactions in predictive modeling is important but challenging task because the possible number of high-order interactions is extremely large (e.g., $> 10^{17}$). In this paper we study feature selection and statistical inference for sparse high-order i…