1 citations · 1 across the 2 of their papers we have counts for
3 papers
cs.LG2023
Multi-point Feedback of Bandit Convex Optimization with Hard Constraints
Yasunari Hikima
This paper studies bandit convex optimization with constraints, where the learner aims to generate a sequence of decisions under partial information of loss functions such that the…
math.OC2022★ 1 cited
Bézier Flow: a Surface-wise Gradient Descent Method for Multi-objective Optimization
Akiyoshi Sannai, Yasunari Hikima, Ken Kobayashi +2
In this paper, we propose a strategy to construct a multi-objective optimization algorithm from a single-objective optimization algorithm by using the Bézier simplex model. Also, w…
math.ST2021
The reference distributions of Maurer's universal statistical test and its improved tests
Yasunari Hikima, Atsushi Iwasaki, Ken Umeno
Maurer's universal statistical test can widely detect non-randomness of given sequences. Coron proposed an improved test, and further Yamamoto and Liu proposed a new test based on…