34 citations
4 papers
An accelerated proximal gradient method for multiobjective optimization
Hiroki Tanabe, Ellen H. Fukuda, Nobuo Yamashita
This paper presents an accelerated proximal gradient method for multiobjective optimization, in which each objective function is the sum of a continuously differentiable, convex fu…
Multiwave COVID-19 Prediction from Social Awareness using Web Search and Mobility Data
J. Xue, T. Yabe, K. Tsubouchi +2
Recurring outbreaks of COVID-19 have posed enduring effects on global society, which calls for a predictor of pandemic waves using various data with early availability. Existing pr…
NationalMood: Large-scale Estimation of People's Mood from Web Search Query and Mobile Sensor Data
Tadashi Okoshi, Wataru Sasaki, Hiroshi Kawane +1
The ability to estimate current affective statuses of web users has considerable potential towards the realization of user-centric opportune services. However, determining the type…
New merit functions for multiobjective optimization and their properties
Hiroki Tanabe, Ellen H. Fukuda, Nobuo Yamashita
A merit (gap) function is a map that returns zero at the solutions of problems and strictly positive values otherwise. Its minimization is equivalent to the original problem by def…