150 citations · 331 across the 15 of their papers we have counts for
4 papers · 1 filter
Minimizing Quadratic Functions in Constant Time
Kohei Hayashi, Yuichi Yoshida
A sampling-based optimization method for quadratic functions is proposed. Our method approximately solves the following -dimensional quadratic minimization problem in constant t…
Making Tree Ensembles Interpretable
Satoshi Hara, Kohei Hayashi
Tree ensembles, such as random forest and boosted trees, are renowned for their high prediction performance, whereas their interpretability is critically limited. In this paper, we…
Making Tree Ensembles Interpretable: A Bayesian Model Selection Approach
Satoshi Hara, Kohei Hayashi
Tree ensembles, such as random forests and boosted trees, are renowned for their high prediction performance. However, their interpretability is critically limited due to the enorm…
A Tractable Fully Bayesian Method for the Stochastic Block Model
Kohei Hayashi, Takuya Konishi, Tatsuro Kawamoto
The stochastic block model (SBM) is a generative model revealing macroscopic structures in graphs. Bayesian methods are used for (i) cluster assignment inference and (ii) model sel…