Zobrazeno 1 - 10
of 25
pro vyhledávání: '"Réda, Clémence"'
Functional linear discriminant analysis (FLDA) is a powerful tool that extends LDA-mediated multiclass classification and dimension reduction to univariate time-series functions. However, in the age of large multivariate and incomplete data, statisti
Externí odkaz:
http://arxiv.org/abs/2402.13103
Autor:
Jourdan, Marc, Réda, Clémence
In good arm identification (GAI), the goal is to identify one arm whose average performance exceeds a given threshold, referred to as good arm, if it exists. Few works have studied GAI in the fixed-budget setting, when the sampling budget is fixed be
Externí odkaz:
http://arxiv.org/abs/2310.10359
This paper introduces a general multi-agent bandit model in which each agent is facing a finite set of arms and may communicate with other agents through a central controller in order to identify, in pure exploration, or play, in regret minimization,
Externí odkaz:
http://arxiv.org/abs/2206.00121
Autor:
Dufour, Adrien, Heydari Olya, Ariane, Foulon, Sophie, Réda, Clémence, Mokhtari, Amazigh, Faivre, Valérie, Hua, Jennifer, Bokobza, Cindy, Griffiths, Andrew D., Nghe, Philippe, Gressens, Pierre, Delahaye-Duriez, Andrée, Van Steenwinckel, Juliette
Publikováno v:
In Brain Behavior and Immunity January 2025 123:466-482
We study the problem of the identification of m arms with largest means under a fixed error rate $\delta$ (fixed-confidence Top-m identification), for misspecified linear bandit models. This problem is motivated by practical applications, especially
Externí odkaz:
http://arxiv.org/abs/2111.01479
Motivated by an application to drug repurposing, we propose the first algorithms to tackle the identification of the m $\ge$ 1 arms with largest means in a linear bandit model, in the fixed-confidence setting. These algorithms belong to the generic f
Externí odkaz:
http://arxiv.org/abs/2103.10070
Autor:
Réda, Clémence, Wilczyński, Bartek
Publikováno v:
In Journal of Theoretical Biology 7 February 2020 486
Publikováno v:
In Computational and Structural Biotechnology Journal 2020 18:241-252
Autor:
Réda, Clémence
Publikováno v:
Artificial Intelligence [cs.AI]. Université Paris Cité, 2022. English. ⟨NNT : ⟩
Given the ever increasing cost of designing de novo molecules to target causes of diseases, and the huge amount of currently available biological data, the development of systematic explorative pipelines for drug development has become of paramount i
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::67a49dcbea9ece07c02338692ae41da2
https://hal.science/tel-03846072
https://hal.science/tel-03846072
Publikováno v:
Médecine Sciences; 2019, Vol. 35 Issue 6/7, p515-518, 4p