5 citations · 7 across the 3 of their papers we have counts for
3 papers
Sample Reuse via Importance Sampling in Information Geometric Optimization
Shinichi Shirakawa, Youhei Akimoto, Kazuki Ouchi +1
In this paper we propose a technique to reduce the number of function evaluations, which is often the bottleneck of the black-box optimization, in the information geometric optimiz…
Learning Asynchronous-Time Information Diffusion Models and its Application to Behavioral Data Analysis over Social Networks
Kazumi Saito, Masahiro Kimura, Kouzou Ohara +1
One of the interesting and important problems of information diffusion over a large social network is to identify an appropriate model from a limited amount of diffusion informatio…
Efficient Detection of Hot Span in Information Diffusion from Observation
Kouzou Ohara, Kazumi Saito, Masahiro Kimura +1
We addressed the problem of detecting the change in behavior of information diffusion from a small amount of observation data, where the behavior changes were assumed to be effecti…