Zobrazeno 1 - 10
of 7 882
pro vyhledávání: '"A. Takeno"'
Autor:
Iwazaki, Shogo, Takeno, Shion
This paper studies a non-stationary kernelized bandit (KB) problem, also called time-varying Bayesian optimization, where one seeks to minimize the regret under an unknown reward function that varies over time. In particular, we focus on a near-optim
Externí odkaz:
http://arxiv.org/abs/2410.16052
Autor:
Watanabe, Hiroshi, Takeno, Yusuke, Negoro, Yusuke, Ikeda, Ryohei, Shibata, Yuria, Chen, Yitong, Nakamura, Takuto, Yamagami, Kohei, Hirata, Yasuyuki, Zhang, Yujun, Takahashi, Ryunosuke, Wadati, Hiroki, Tamasaku, Kenji, Imura, Keiichiro, Suzuki, Hiroyuki S., Sato, Noriaki K., Kimura, Shin-ichi
To investigate the role of the excitons for the origin of the pressure-induced phase transition (BGT) from the black-colored insulator (BI) to the golden-yellow-colored metal (GM) of samarium monosulfide (SmS), optical reflectivity, Sm $3d$ X-ray abs
Externí odkaz:
http://arxiv.org/abs/2410.00674
Gaussian process upper confidence bound (GP-UCB) is a theoretically established algorithm for Bayesian optimization (BO), where we assume the objective function $f$ follows GP. One notable drawback of GP-UCB is that the theoretical confidence paramet
Externí odkaz:
http://arxiv.org/abs/2409.00979
Level set estimation (LSE), the problem of identifying the set of input points where a function takes value above (or below) a given threshold, is important in practical applications. When the function is expensive-to-evaluate and black-box, the \tex
Externí odkaz:
http://arxiv.org/abs/2408.03144
Autor:
Hanada, Hiroyuki, Aoyama, Tatsuya, Akahane, Satoshi, Tanaka, Tomonari, Okura, Yoshito, Inatsu, Yu, Hashimoto, Noriaki, Takeno, Shion, Murayama, Taro, Lee, Hanju, Kojima, Shinya, Takeuchi, Ichiro
We consider a machine learning setup where one training dataset is used to train multiple models across slightly different data distributions. This occurs when customized models are needed for various deployment environments. To reduce storage and tr
Externí odkaz:
http://arxiv.org/abs/2406.05964
Autor:
Ozaki, Ryota, Ishikawa, Kazuki, Kanzaki, Youhei, Suzuki, Shinya, Takeno, Shion, Takeuchi, Ichiro, Karasuyama, Masayuki
There are a lot of real-world black-box optimization problems that need to optimize multiple criteria simultaneously. However, in a multi-objective optimization (MOO) problem, identifying the whole Pareto front requires the prohibitive search cost, w
Externí odkaz:
http://arxiv.org/abs/2311.13460
Among various acquisition functions (AFs) in Bayesian optimization (BO), Gaussian process upper confidence bound (GP-UCB) and Thompson sampling (TS) are well-known options with established theoretical properties regarding Bayesian cumulative regret (
Externí odkaz:
http://arxiv.org/abs/2311.03760
Autor:
Fabiënne S. Meijboom, Annika Hasch, Inigo Ruiz de Azua, Camila Takeno Cologna, Shauni Loopmans, Beat Lutz, Marianne B. Müller, Bart Ghesquière, Michael A. van der Kooij
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-10 (2024)
Abstract Chronic stress has been shown to induce hyperglycemia in both peripheral blood and the brain, yet the detailed mechanisms of glucose metabolism under stress remain unclear. Utilizing 13C6-labeled glucose to trace metabolic pathways, our stud
Externí odkaz:
https://doaj.org/article/80b1bf145d9b43e2ada168a7d2da9842
Autor:
Pedro Hyug de Almeida da Silva, Dalete Araújo de Souza, Rubens Lucas de Freitas Filho, Ana Paula de Carvalho Teixeira, Rochel Montero Lago, Walter Ricardo Brito, Edgar Alves Araújo Junior, Litiko Lopes Takeno, Francimauro Sousa Morais, José Fábio de Lima Nascimento, Yurimiler Leyet Ruiz, Libertalamar Brilhalva Saraiva, Francisco Xavier Nobre
Publikováno v:
ACS Physical Chemistry Au, Vol 4, Iss 6, Pp 632-646 (2024)
Externí odkaz:
https://doaj.org/article/6e62f4ee2dd94ddda92215d2d5425b6a
Autor:
Omar Jawdat, Jason Rucker, Tomoki Nakano, Kotaro Takeno, Jeffery Statland, Mamatha Pasnoor, Mazen M. Dimachkie, Carla Sabus, Yomna Badawi, Suzanne L. Hunt, Naoko H. Tomioka, Sumedha Gunewardena, Clark Bloomer, Heather M. Wilkins, Laura Herbelin, Richard J. Barohn, Hiroshi Nishimune
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-11 (2024)
Abstract Amyotrophic lateral sclerosis (ALS) patients lack effective treatments to maintain motor and neuromuscular function. This study aimed to evaluate the effect of a home-based exercise program on muscle strength, ALS scores, and transcriptome i
Externí odkaz:
https://doaj.org/article/e3237184e1bb4c6f98062c0787594ebf